[go: up one dir, main page]

CN115146813A - Method and device for determining total natural gas yield, computer equipment and storage medium - Google Patents

Method and device for determining total natural gas yield, computer equipment and storage medium Download PDF

Info

Publication number
CN115146813A
CN115146813A CN202110341211.1A CN202110341211A CN115146813A CN 115146813 A CN115146813 A CN 115146813A CN 202110341211 A CN202110341211 A CN 202110341211A CN 115146813 A CN115146813 A CN 115146813A
Authority
CN
China
Prior art keywords
natural gas
data
ith
demand
total
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110341211.1A
Other languages
Chinese (zh)
Other versions
CN115146813B (en
Inventor
段言志
何春蕾
李森圣
胡俊坤
谭琦
周娟
陈灿
辜穗
曾轶
李孜孜
王瑞莲
何晋越
章成东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Petrochina Co Ltd
Original Assignee
Petrochina Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Petrochina Co Ltd filed Critical Petrochina Co Ltd
Priority to CN202110341211.1A priority Critical patent/CN115146813B/en
Publication of CN115146813A publication Critical patent/CN115146813A/en
Application granted granted Critical
Publication of CN115146813B publication Critical patent/CN115146813B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Accounting & Taxation (AREA)
  • Marketing (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Tourism & Hospitality (AREA)
  • Water Supply & Treatment (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Primary Health Care (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Public Health (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本申请关于一种天然气总产量确定方法、装置、计算机设备及存储介质，涉及天然气技术领域。该方法包括：获取初始天然气数据以及预测数据量N，执行至少一次天然气总产量确定过程，直至i＝N+1；获取N个时间点一一对应的天然气总产量；天然气总产量确定过程包括：获取第i‑1个时间点对应的第i‑1供需差额数据以及第i‑1天然气总产量；基于第i‑1供需差额数据以及第i‑1天然气总产量，确定第i个时间点对应的第i天然气总产量，将i的数值更新为i+1。通过上述方法达到了以天然气价格为基础，预测天然气总产量的目的，从天然气价格这一微观角度提供了一种预测天然气总产量的可行性方法，提高了对天然气总产量进行预测的准确性。

Figure 202110341211

The present application relates to a method, device, computer equipment and storage medium for determining the total output of natural gas, and relates to the technical field of natural gas. The method includes: acquiring initial natural gas data and a predicted data amount N, and performing at least one process of determining the total output of natural gas until i=N+1; acquiring the total output of natural gas corresponding to N time points one-to-one; the process of determining the total output of natural gas includes: Obtain the i-1st supply-demand difference data and the i-1th total natural gas production corresponding to the i-1th time point; based on the i-1th supply-demand difference data and the i-1th total natural gas production, determine the corresponding time point i The i-th total natural gas production, update the value of i to i+1. The above method achieves the purpose of predicting the total natural gas production based on the price of natural gas, and provides a feasible method for predicting the total production of natural gas from the perspective of the price of natural gas, which improves the accuracy of forecasting the total production of natural gas.

Figure 202110341211

Description

Method and device for determining total natural gas yield, computer equipment and storage medium
Technical Field
The application relates to the technical field of natural gas, in particular to a method and a device for determining total natural gas yield, computer equipment and a storage medium.
Background
Natural gas, as a clean energy source, is increasing in the consumption rate of primary energy. From the perspective of government and natural gas industry decision makers, the analysis and prediction of the total domestic production of natural gas have a very important role in the import of natural gas and the regulation and control of supply and demand of natural gas.
In the related art, the production situation of domestic natural gas is predicted based on population and the total value of natural gas production. However, in the actual change process, for newly added engineering personnel, whether natural gas is used as production and living energy or not is selected based on the prices of natural gas and other alternative energy, that is, the setting of the natural gas price influences the demand of the engineering personnel on the natural gas, and further influences the regulation and control of the total domestic natural gas output, so that the setting of the natural gas price strategy influences the natural gas supply and demand relationship of the natural gas market, and therefore, how to predict the total natural gas output based on the natural gas price becomes a problem which needs to be solved urgently at present.
Disclosure of Invention
The application relates to a method, a device, computer equipment and a storage medium for determining total natural gas yield, which can realize microscopic prediction of the total natural gas yield based on natural gas price. The technical scheme is as follows:
in one aspect, a method for determining total natural gas production is provided, the method comprising:
acquiring initial natural gas data and a predicted data quantity N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data comprises an initial total natural gas production and an initial natural gas import quantity; the total natural gas yield refers to the domestic natural gas yield in a specified time period;
executing at least one natural gas total output determining process until i = N +1, and acquiring natural gas total outputs corresponding to N time points one by one, wherein an initial value of i is 1; the total natural gas production determination process comprises the following steps:
acquiring the (i-1) th supply and demand difference data corresponding to the (i-1) th time point; the i-1 supply and demand difference data corresponding to the i-1 time point is determined by the i-1 natural gas data corresponding to the i-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply quantity data comprise the i-1 th total natural gas production and the i-1 th natural gas inlet quantity;
acquiring the total yield of the i-1 th natural gas corresponding to the i-1 th time point;
determining the ith natural gas total production corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 natural gas total production;
updating the value of i to i +1;
wherein, in response to i =1, the supply and demand difference data corresponding to the i-1 st time point is determined from the initial natural gas data, and the total natural gas production corresponding to the i-1 st time point is the initial total natural gas production.
In another aspect, there is provided an overall natural gas production determining apparatus, the apparatus comprising:
the initial data acquisition module is used for acquiring initial natural gas data and a predicted data volume N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data comprises an initial total natural gas production and an initial natural gas import quantity; the total natural gas yield refers to the domestic natural gas yield in a specified time period;
the total natural gas output obtaining module is used for executing at least one total natural gas output determining process until i = N +1, obtaining the total natural gas output corresponding to the N time points one by one, and setting an initial value of i to be 1;
the total natural gas production acquisition module comprises:
the supply and demand difference data acquisition submodule is used for acquiring the i-1 st supply and demand difference data corresponding to the i-1 st time point; the i-1 supply and demand difference data corresponding to the i-1 time point is determined by the i-1 natural gas data corresponding to the i-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 natural gas supply quantity data comprise the i-1 natural gas total production and the i-1 natural gas inlet quantity;
the first total natural gas yield acquisition sub-module is used for acquiring the total yield of the ith-1 natural gas corresponding to the ith-1 time point;
the second total natural gas yield acquisition sub-module is used for determining the ith total natural gas yield corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 total natural gas yield;
updating the value of i to i +1;
wherein, in response to i =1, the supply and demand difference data corresponding to the i-1 st time point is determined from the initial natural gas data, and the total natural gas production corresponding to the i-1 st time point is the initial total natural gas production.
In one possible implementation, the second total natural gas production obtaining sub-module includes:
the yield depreciation calculating unit is used for calculating the i-1 th yield depreciation corresponding to the i-1 th time point on the basis of the i-1 th total natural gas yield, and the i-1 th yield depreciation is used for expressing the calculation error corresponding to the i-1 th time point;
and the second total natural gas production calculating unit is used for determining the ith total natural gas production corresponding to the ith time point based on the ith-1 total natural gas production, the ith-1 supply and demand difference data and the ith-1 yield depreciation amount.
In one possible implementation manner, the i-1 th natural gas data comprises an i-1 th depreciation coefficient;
in a possible implementation manner, the yield depreciation calculating unit is used for calculating the i-1 th yield depreciation corresponding to the i-1 th time point based on the i-1 th total natural gas yield and the i-1 th depreciation coefficient.
In a possible implementation manner, the initial data obtaining module is configured to, in response to that an i-1 th difference between an i-1 th natural gas demand data and an i-1 th natural gas supply data in the i-1 th natural gas data is greater than 0, obtain the i-1 th difference as the i-1 th supply and demand difference data;
and acquiring the i-1 th supply and demand difference data as 0 in response to the i-1 th difference between the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data being less than or equal to 0.
In one possible implementation, the natural gas usage population includes a first population and a second population; the first population corresponding to first natural gas price data, the second population corresponding to second natural gas price data, the second natural gas price data being greater than or equal to the first natural gas price data; the initial natural gas price data comprises initial first natural gas price data and initial second natural gas price data; the initial natural gas demand data includes initial natural gas demand data corresponding to a first group and initial natural gas demand data corresponding to a second group, and the apparatus further includes:
a first sub-natural gas demand data calculation module for calculating, based on the first natural gas price data, the ith-1 alternative energy price data, a first discount coefficient, and an ith corresponding to the first group 1 -1 natural gas demand data, calculating the ith corresponding to said first population 1 -1 natural gas demand data; the first discount coefficient is a discount coefficient corresponding to the first group;
a second sub-natural gas demand data calculation module, configured to calculate, based on the second natural gas price data, the ith-1 alternative energy price data, a second discount coefficient, and an ith corresponding to the second group 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data; the second discount coefficient is a discount coefficient corresponding to the second group;
a natural gas demand data calculation module for calculating the demand of natural gas based on the ith 1 -1 natural gas demand data, and, said ith 2 -1 natural gas demand data calculating the i-1 natural gas demand data corresponding to the i-1 time point.
In one possible implementation, the first population corresponds to a first population growth rate and the second population corresponds to a second population growth rate;
the first sub-natural gas demand data calculation module comprises:
a first gas demand increase amount acquisition submodule for respondingWhen the i-1 th alternative energy price data is larger than the first natural gas price data corresponding to the i-1 th time point, acquiring the i-th natural gas demand data corresponding to the first group and the growth rate of the first group based on the i-1 th natural gas demand data and the first group 1 -1 increased demand for gas;
in response to the i-1 th alternative energy price data being less than or equal to the first natural gas price data corresponding to the i-1 st time point, basing the i-th alternative energy price data on 1 -1 natural gas demand data, said first population growth rate and said first discount factor, obtaining the ith corresponding to said first population 1 -1 increased demand for gas;
a first sub-natural gas demand data calculation sub-module for calculating a first sub-natural gas demand based on the ith 1 -1 increased demand for gas and said ith 1 -1 natural gas demand data, calculating the ith corresponding to said first population 1 -1 natural gas demand data.
In one possible implementation manner, the second sub-natural gas demand data calculation module includes:
a second gas demand increase amount acquisition submodule for responding to the i-1 th alternative energy price data being larger than the second natural gas price data corresponding to the i-1 st time point, based on the i 2 -1, acquiring the ith natural gas demand data and the growth rate of the second population, and corresponding to the second population 2 -1 increased demand for gas;
responsive to the i-1 th alternative energy price data being less than or equal to the second natural gas price data corresponding to the i-1 st time point, basing the i on the i 2 -1 natural gas demand data, the second population growth rate and the second discount coefficient, and obtaining the ith corresponding to the second population 2 -1 increased demand for gas;
a second sub-natural gas demand data calculation sub-module for calculating a second demand data based on the ith 2 -1 increased demand for gas and said ith 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data.
In one possible implementation, the natural gas price data is determined by a natural gas price data policy; the natural gas price data strategy comprises a first natural gas price data strategy, a second natural gas price data strategy, a third natural gas price data strategy and a fourth natural gas price data strategy;
the first natural gas price data policy indicates: the first natural gas price data corresponding to the N time points are the same, and the second natural gas price data corresponding to the N time points are the same;
the second natural gas price data policy indicates: the difference value between the first natural gas price data corresponding to the ith time point and the first natural gas price data corresponding to the (i-1) th time point is a first specified increase value; the difference between the second natural gas price data corresponding to the ith time point and the second natural gas price data corresponding to the (i-1) th time point is a second specified increase value;
the third natural gas price data policy indicates: the second natural gas price data corresponding to the N time points one by one is determined by the import natural gas prices corresponding to the N time points one by one, and the first natural gas price data corresponding to the N time points one by one are the same;
the fourth natural gas price data policy indicates: the second natural gas price data corresponding to the ith time point is determined by the alternative energy price data corresponding to the (i-1) th time point; the first natural gas data price data corresponding to the ith time is determined by the second natural gas price data corresponding to the i time points.
In another aspect, a computer device is provided, which includes a processor and a memory, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the total natural gas production determination method provided in the embodiments of the present application.
In another aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, code set, or set of instructions is stored, which is loaded and executed by a processor to implement the total natural gas production determination method provided in the embodiments of the present application.
In another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read by a processor of the computer device from the computer-readable storage medium, and the computer instructions are executed by the processor to cause the computer device to execute the total natural gas production determination method provided in the above-mentioned various alternative implementations.
The beneficial effect that technical scheme that this application provided brought includes at least:
the method comprises the steps of carrying out N times of iteration on initial natural gas data comprising initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data, and predicting the total natural gas output corresponding to each of N time points in the future based on the initial natural gas data, so that the purpose of predicting the total natural gas output based on the natural gas price is achieved, a feasible method for predicting the total natural gas output from the microscopic angle of the natural gas price is provided, and the accuracy of predicting the total natural gas output is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 illustrates a flow diagram of a total natural gas production determination method provided by an exemplary embodiment of the present application;
FIG. 2 illustrates a flow diagram of a total natural gas production determination process shown in an exemplary embodiment of the present application;
fig. 3 is a flow chart illustrating a method for determining total natural gas yield according to an embodiment of the present application;
FIG. 4 illustrates a graphical representation of total natural gas production curves for different natural gas price strategies as illustrated in an exemplary embodiment of the present application;
FIG. 5 illustrates a graphical representation of an overall natural gas production curve based on different price growth gradients predictions as illustrated in an exemplary embodiment of the present application;
FIG. 6 illustrates a block diagram of a total natural gas production determination device shown in an exemplary embodiment of the present application;
FIG. 7 is a block diagram illustrating the structure of a computer device according to an example embodiment.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. "plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
In order to achieve the purpose of predicting the total natural gas output based on the natural gas price, the application provides a method for determining the total natural gas output, which can predict the total natural gas output corresponding to N time points in the future through input initial natural gas data and predicted data output, and the method for determining the total natural gas output can be executed by a computer device, wherein the computer device is a computer device with operation processing capability, and in an exemplary embodiment, the computer device can be implemented as a server or a server cluster. The present application does not limit the device type of the computing device.
In the embodiment of the present application, the relevant data corresponding to each time point is distinguished in a form that the relevant data corresponding to the nth time point is the nth data, for example, the total natural gas output corresponding to the ith time point is expressed as the ith total natural gas output, the supply and demand difference data corresponding to the ith time point is expressed as the ith supply and demand difference data, the natural gas demand data corresponding to the ith time point is the ith natural gas demand data, and the like, and schematically, the total natural gas output corresponding to the first time point is the first total natural gas output, and the natural gas demand data corresponding to the second time point is the second natural gas demand data, and the like.
Fig. 1 shows a flowchart of a total natural gas production determining method provided in an exemplary embodiment of the present application, where the total natural gas production determining method may be executed by a computer device, and the computer device may be implemented as a server, and the method includes:
step 110, acquiring initial natural gas data and a predicted data volume N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data includes an initial total natural gas production and an initial natural gas import quantity; the total natural gas yield refers to the domestic natural gas yield in a specified time period.
The initial natural gas data refers to the natural gas data corresponding to the current time point or a specified time point in historical time; the predicted data quantity N is the total natural gas production which is predicted from the time point corresponding to the initial natural gas as the starting time point and is obtained from N continuous time points after the starting time point.
The N time points can be divided by taking the year as a unit, or can be divided by taking the quarter as a unit, or can be divided by taking the month as a unit, and the dividing mode of the time points is not limited by the application; the time point is divided by taking a year as a unit as an example for explanation, and if the year corresponding to the initial natural gas data is 2010 and the predicted data output is 40, when the total natural gas output is predicted, the total natural gas output of each year in the next 40 years, namely the total natural gas output corresponding to each year from 2011 to 2050, is predicted on the basis of the natural gas data of 2010.
In the method provided by the application, in the real life, if the energy user adopts the natural gas energy, the natural gas energy is rarely replaced by new alternative energy, but for the new energy user, namely the energy user with the energy type not selected yet, the prices of various energy sources are comprehensively considered, and based on the price comparison among various energy sources, the energy sources which are more in line with the current requirements of the user or the energy sources with lower prices are selected, so that the relation between the price data of the natural gas and the price data of the alternative energy sources is related to the data quantity of the energy user selecting the natural gas energy, namely the user growth rate corresponding to the natural gas energy, thereby influencing the supply and demand relation of the natural gas and further influencing the total domestic natural gas output. Therefore, when the total natural gas production is predicted, taking 2010 as an example, the initial natural gas data volume comprises 2010 natural gas price data, 2010 natural gas supply volume data, 2010 natural gas demand data and 2010 alternative energy price data; the data of the natural gas supply amount in 2010 includes the total natural gas production in 2010 and the imported natural gas production in 2010.
Step 120, executing at least one natural gas total output determination process until i = N +1, and obtaining natural gas total outputs corresponding to N time points one by one, wherein an initial value of i is 1; the total natural gas yield determination process comprises the following steps:
step 121, acquiring the i-1 st supply and demand difference data corresponding to the i-1 st time point; the i-1 supply and demand difference data corresponding to the i-1 time point is determined by the i-1 natural gas data corresponding to the i-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply amount data includes the i-1 th natural gas supply amount data total natural gas production and the i-1 st natural gas inlet.
And step 122, acquiring the total yield of the i-1 th natural gas corresponding to the i-1 th time point.
And step 123, determining the ith natural gas total production corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 natural gas total production.
Step 124, update the value of i to i +1.
Fig. 2 is a flow chart illustrating a process of determining total natural gas production according to an exemplary embodiment of the present application, where as shown in fig. 2, an initial natural gas value is input, an initial value of i is set to 1, and steps 121 to 123 are performed; thereafter, in step 124, the value of i is updated to i +1, i = i +1; and judging the relation between the current i and the current N, if i is less than or equal to N, indicating that the total output corresponding to the N time points is not calculated, and repeatedly executing the steps 121 to 124 until i = N +1, indicating that the total output corresponding to the N time points is calculated, and obtaining the total natural gas output corresponding to the N time points one by one.
And responding to i =1, determining the supply and demand difference data corresponding to the i-1 time point from the initial natural gas data, and taking the total natural gas yield corresponding to the i-1 time point as the initial total natural gas yield. Since the initial value of i is 1, in the process of determining the total natural gas output for the first time, relevant data corresponding to the (i-1) th time point does not exist in the computer device, i-1 th natural gas data for calculating the total natural gas output at the 1 st time point is obtained based on the initial natural gas data, for example, the year corresponding to the initial natural gas data is 2020, and when the total natural gas output in the 2021 st year is predicted, calculation is performed according to the natural gas data corresponding to the 2020.
In summary, according to the method for determining total natural gas output provided by the embodiment of the present application, N iterations are performed on the initial natural gas data including the initial natural gas price data, the initial natural gas supply output data, the initial natural gas demand data and the initial alternative energy price data, and the total natural gas output corresponding to each of N time points in the future is predicted based on the initial natural gas data, so that the purpose of predicting the total natural gas output based on the natural gas price is achieved, a feasible method for predicting the total natural gas output is provided from the microscopic perspective of the natural gas price, and the accuracy of predicting the total natural gas output is improved.
In the embodiment of the present application, the total natural gas yield at the predicted time point is related to the natural gas data at the previous time point of the predicted time point, and is affected by the natural gas data at the previous time point, for example, the predicted time is 2015, the predicted time period of 2011-2050 corresponds to the 5 th time point, the total natural gas yield in 2015 (the 5 th predicted time point) is determined by the natural gas data in 2014 (the 4 th predicted time point), the natural gas data in 2014 (the 4 th predicted time point) is determined by the natural gas data in 2013 (the 3 rd predicted time point), and so on; fig. 3 shows a flowchart of a method for determining total natural gas yield, which may be executed by a computer device, where the computer device may be implemented as a server, and the method includes:
step 310, acquiring initial natural gas data and a predicted data quantity N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data includes an initial total natural gas production and an initial natural gas import quantity.
The total natural gas yield refers to the domestic natural gas yield in a specified time period, the specified time period corresponds to the division unit of the N time points, for example, the N time points are divided by taking the year as the unit, and then the natural gas yield in the specified time period refers to the annual domestic natural gas yield; the N time points are divided in quarters, and the natural gas production in a given time period is then the natural gas production per quarter.
In actual production and life, different natural gas prices are correspondingly set in different production and life scenes, generally speaking, the natural gas price is divided into two situations of resident gas consumption and non-resident (commercial and industrial) gas consumption, and the resident gas consumption refers to natural gas used in family life of urban and rural resident residences, including resident natural gas, household natural gas and the like; the non-residential gas consumption refers to the gas consumption of natural gas engineering personnel, such as markets, shops, wholesalers, warehouses, traffic and the like, which provide commercial, financial and service paid services for commodity exchange. Based on the above, the natural gas usage group may include a first group and a second group, wherein the first group is the residential gas usage group, the second group is the non-residential gas usage group, the first group corresponds to first natural gas price data, the second group corresponds to second natural gas price data, and the second natural gas price data is greater than or equal to the first natural gas price data; accordingly, the initial natural gas price data includes initial first natural gas price data and initial second natural gas price data. Because the prices of the natural gas corresponding to the first population and the second population are different, when the total natural gas production is determined, the natural gas data related to the price of the natural gas needs to be calculated respectively based on the first population and the second population, for example, the initial natural gas demand data comprises the initial natural gas demand corresponding to the first population and the natural gas data volume corresponding to the second population.
In one possible implementation, the initial first natural gas price is an average of first natural gas prices over a specified period, and the initial second natural gas price is an average of second natural gas prices over the specified period; the initial alternative energy price data is an average value of the alternative energy price data for a specified period, which is a division unit for N time points.
Step 320, executing at least one natural gas total output determining process until i = N +1, and obtaining natural gas total outputs corresponding to N time points one by one, wherein an initial value of i is 1; the total natural gas yield determination process comprises the following steps:
step 321, acquiring the i-1 st supply and demand difference data corresponding to the i-1 st time point; the i-1 st supply and demand difference data corresponding to the i-1 st time point is determined by the i-1 st natural gas data corresponding to the i-1 st time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply quantity data includes the i-1 th total natural gas production and the i-1 th natural gas inlet quantity.
In one possible implementation mode, in response to that the i-1 difference value of the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data is larger than 0, acquiring the i-1 th difference value as i-1 th supply and demand difference data; schematically, the formula for calculating the i-1 th difference corresponding to the i-1 th time point is represented as:
the i-1 st supply and demand difference data = the i-1 st natural gas demand data-the i-1 st natural gas supply data (1)
And acquiring the i-1 th supply and demand difference data as 0 in response to the i-1 th difference between the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data being less than or equal to 0.
Based on the formula, in order to calculate the (i-1) th supply and demand difference data, the (i-1) th natural gas demand data and the (i-1) th natural gas supply data need to be acquired firstly; wherein the i-1 st natural gas supply quantity data includes the i-1 st total natural gas production and the i-1 st natural gas import quantity.
The i-1 th natural gas demand data is related to population numbers of natural gas usage groups, wherein the natural gas usage groups include a first group (residential gas usage group) and a second group (non-residential gas usage group); the first natural gas price determines the growth rate of the first group, the second natural gas price determines the growth rate of the second group, and generally, the lower the natural gas price data, the higher the growth rate of the corresponding natural gas usage group, and the higher the natural gas price data, the lower the growth rate of the corresponding natural gas usage group.
Corresponding to the initial natural gas data, wherein the i-1 st natural gas price data in the i-1 st natural gas data corresponding to the i-1 st time point also comprises natural gas price data corresponding to the first group and natural gas price data corresponding to the second group; the i-1 st natural gas demand data includes the i-th natural gas demand corresponding to the first group 1 -1 natural gas demand data and corresponding ith of the second population 2 -1 natural gas demand data. Therefore, to calculate the i-1 th natural gas demand data, the i-th natural gas demand data corresponding to the first population is acquired 1 -1 natural gas demand data and ith corresponding to the second group 2 -1 natural gas demand data.
In one possible implementation, the process of calculating the i-1 th natural gas demand data is implemented as:
based on the first natural gas price data, the (i-1) th alternative energy price data, the first folding coefficient and the (i) th corresponding to the first group 1 -1 natural gas demand data, calculating the ith corresponding to the first population 1 -1 natural gas demand data; the first folding coefficient is a folding coefficient corresponding to the first group;
based on the second natural gas price data, the ith-1 alternative energy price data, the second discount coefficient and the ith corresponding to the second group 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data; the second discount coefficient is a discount coefficient corresponding to the second group;
based on the ith 1 -1 natural gas demand data, and, ith 2 -1 natural gas demand data calculating the i-1 natural gas demand data corresponding to the i-1 time point.
The first folding coefficient and the second folding coefficient may be the same or different.
In one possible implementation, the first population corresponds to a first population growth rate and the second population corresponds to a second population growth rate; in the embodiment of the present application, the first population growth rate corresponding to the first population and the second population growth rate corresponding to the second population are growth rate data set by an engineer according to actual conditions, and the first population growth rate and the second population growth rate may be the same or different.
Calculating the ith corresponding to the first group 1 -1 the process of natural gas demand data is implemented as:
1) In response to the fact that the ith-1 alternative energy price data are larger than the first natural gas price data corresponding to the ith-1 time point, acquiring the ith natural gas price data corresponding to the first group based on the ith-1 natural gas demand data and the first group growth rate 1 1 increased demand for gas.
Illustratively, when the (i-1) th alternative energy price data is larger than the first natural gas price data corresponding to the (i-1) th time point, the (i) th alternative energy price data 1 -1 the calculation formula for the increase in demand for gas is expressed as:
first, the i all right angle 1 -1 increase in demand for gas = i-1 data on demand for natural gas a first population growth rate (2)
2) Responding to the ith-1 alternative energy price data being less than or equal to the first natural gas price data corresponding to the ith-1 time point, and based on the ith 1 -1 natural gas demand data, the first population growth rate and the first discount factor, obtaining the ith corresponding to the first population 1 1 increased demand for gas.
Illustratively, when the ith-1 alternative energy price data is less than or equal to the first natural gas price data corresponding to the ith-1 time point, the ith 1 -1 the calculation formula for the increase in demand for gas is expressed as:
ith 1 -1 increase in demand for gas =
Data of i-1 natural gas demand first population growth rate first folding factor (3)
3) Based on the ith 1 1 increased demand for gas and ith 1 -1 natural gas demand data, calculating the ith corresponding to the first population 1 -1 natural gas demand data.
Schematically, i th 1 -1 natural gas demand data
= ith 1 1 increased demand for gas + ith 1 -1 gas demand data (4)
Computing the second population pairIth of reaction 2 The process of the natural gas demand data is realized as follows:
1) Responding to the i-1 th alternative energy price data being larger than the second natural gas price data corresponding to the i-1 th time point, and based on the i 2 -1, acquiring the ith corresponding to the second population by using the natural gas demand data and the growth rate of the second population 2 1 increased demand for gas.
Schematically, when the price data of the i-1 th alternative energy source is larger than the price data of the second natural gas corresponding to the i-1 th time point, the ith 2 -1 the calculation formula for the increase in demand for gas is expressed as:
ith 2 -1 increase in demand for gas = i-1 data of demand for natural gas second population growth rate (5)
2) Responding to the i-1 th alternative energy price data being smaller than the second natural gas price data corresponding to the i-1 th time point, and based on the i 2 -1 natural gas demand data, the second population growth rate and the second discount coefficient, and obtaining the ith corresponding to the second population 2 1 increased demand for gas.
Schematically, when the i-1 th alternative energy price data is less than or equal to the second natural gas price data corresponding to the i-1 th time point, the ith natural gas price data 2 -1 the calculation formula for the increase in demand for gas is expressed as:
ith 2 -1 increase in demand for gas =
Data of i-1 natural gas demand data second population growth rate second discount coefficient (6)
3) Based on the ith 2 1 increased demand for gas and ith 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data.
Schematically, i th 2 -1 natural gas demand data
= ith 2 1 increased demand for gas + ith 2 -1 gas demand data (7)
And 322, acquiring the total yield of the i-1 natural gas corresponding to the i-1 time point.
And 323, calculating the i-1 yield depreciation corresponding to the i-1 time point based on the i-1 natural gas total yield, wherein the i-1 yield depreciation is used for representing the calculation error corresponding to the i-1 time point.
In a possible implementation manner, the ith-1 natural gas data contains an ith-1 depreciation coefficient, which may be a coefficient preset based on actual conditions, for example, the depreciation coefficient may be a fixed value; alternatively, the depreciation coefficient may be a coefficient that fluctuates within a certain range, for example, the depreciation coefficient may be data that fluctuates within 10% -20%; alternatively, the depreciation coefficient may be data that changes according to a predetermined rule in accordance with a change in the number of time points, for example, the depreciation coefficient may decrease in a range of 10% to 20% as the number of time points increases.
The process of calculating the i-1 yield depreciation is implemented as: and calculating the i-1 yield depreciation amount corresponding to the i-1 time point based on the i-1 natural gas total yield and the i-1 depreciation coefficient, wherein the formula can be expressed as follows:
depreciation amount of i-1 th production = i-1 th total production of natural gas i-1 depreciation coefficient (8)
And step 324, determining the ith natural gas total output corresponding to the ith time point based on the ith-1 natural gas total output, the ith-1 supply and demand difference data and the ith-1 yield depreciation amount.
Schematically, i th natural gas total production =
The total yield of the i-1 th natural gas, the supply and demand difference data of the i-1 th and the yield depreciation of the i-1 th (9)
In step 325, the value of i is updated to i +1.
Wherein, in response to i =1, the supply and demand difference data corresponding to the i-1 th time point is determined by the initial natural gas data, and the total natural gas production corresponding to the i-1 th time point is the initial total natural gas production.
In summary, according to the method for determining total natural gas output provided by the embodiment of the application, the initial natural gas data including the initial natural gas price data, the initial natural gas supply output data, the initial natural gas demand data and the initial alternative energy price data are iterated for N times, and the total natural gas output corresponding to each of N time points in the future is predicted based on the initial natural gas data, so that the purpose of predicting the total natural gas output based on the natural gas price is achieved, a feasible method for predicting the total natural gas output is provided from the microscopic perspective of the natural gas price, and the accuracy of predicting the total natural gas output is improved.
In a possible implementation manner, different natural gas price data strategies are set in the embodiment of the application, each natural gas price data strategy corresponds to different natural gas price changes, natural gas price data corresponding to different natural gas price data strategies can be applied to the total natural gas output determination method shown in fig. 1 or fig. 3, the natural gas output is predicted, and the natural gas price data is determined by the natural gas price data strategies; the natural gas price data strategy comprises a first natural gas price data strategy, a second natural gas price data strategy, a third natural gas price data strategy and a fourth natural gas price data strategy.
1. The first natural gas price data strategy indicates: the first natural gas price data corresponding to the N time points are the same, and the second natural gas price data corresponding to the N time points are the same.
Schematically, the first natural gas prices corresponding to the N time points are all initial first natural gas prices, for example, the average first natural gas price (initial first natural gas price) in 2010 throughout the year is 1 yuan/cubic meter, and then when the total natural gas output corresponding to 2011-2050 years is predicted, data processing is performed with 1 yuan/cubic meter; the second natural gas prices corresponding to the N time points are all the initial second natural gas prices, for example, the average second natural gas price (initial second natural gas price) in 2010 throughout the year is 2.5 yuan/cubic meter, and then when the total natural gas output corresponding to 2011-2050 years is predicted, data processing is performed with 2.5 yuan/cubic meter.
The first natural gas price data strategy also indicates that the alternative energy price data corresponding to the N time points are the same, and the import gas price corresponding to the N time points is the same.
Illustratively, the alternative energy price data corresponding to the N time points are initial alternative energy price data, the inlet gas prices corresponding to the N time points are initial inlet gas prices included in the initial natural gas data, and the initial inlet gas prices are average values of the inlet gas prices in a specified period; for example, the average alternative energy price data in 2010 is 3.5 yuan/cubic meter, and the average inlet gas price is 4 yuan/cubic meter, so that when the total natural gas output corresponding to 2011-2050 years is predicted, the alternative energy price data is 3.5 yuan/cubic meter, and the inlet gas price is 4 yuan/cubic meter for data processing.
That is, the first natural gas price data policy is a low price policy, and is used for indicating that price data related to the price of the natural gas corresponding to the N time points are kept unchanged.
2. The second natural gas price data policy dictates that: the difference value between the first natural gas price data corresponding to the ith time point and the first natural gas price data corresponding to the (i-1) th time point is a first designated increase value; the difference between the second natural gas price data corresponding to the ith time point and the second natural gas price data corresponding to the (i-1) th time point is a second designated growth value.
In one possible implementation, the first specified growth value is equal to the second specified growth value, that is, the first natural gas price data and the second natural gas price number keep growing in the same magnitude.
The second natural gas price data strategy is a fixed price adjustment policy, the resident price and the non-resident price are adjusted up periodically, and the same amplitude adjustment is kept; for example, the first natural gas price in 2010 is 1 yuan/cubic meter, the second natural gas price is 2.5 yuan/cubic meter, the alternative energy price data is 3.5 yuan/cubic meter, and the inlet gas price is 4 yuan/cubic meter, and when the total natural gas yield corresponding to the N time points is calculated, only the first natural gas price and the second natural gas price are periodically adjusted, for example, both the first natural gas price and the second natural gas price are adjusted to 0.2 yuan/cubic meter, or 0.1 yuan/cubic meter, or 0.05 yuan/cubic meter.
3. The third day natural gas price data strategy indicates that: the second natural gas price data corresponding to the N time points one by one is determined by the import natural gas prices corresponding to the N time points one by one, and the first natural gas price data corresponding to the N time points one by one are the same. And the third natural gas price data strategy is an imported natural gas normal price regulation strategy.
In one possible implementation, the import natural gas price at N time points in one-to-one correspondence is determined by the alternative energy price data at N time points in one-to-one correspondence, illustratively, the import gas price = a hooking coefficient for the alternative energy price data, wherein the hooking coefficient is used to indicate a correlation between the import gas price and the alternative energy price data, and the hooking coefficient may be a value set according to an actual demand. Illustratively, when calculating the 2011 import natural gas price, the 2011 import natural gas price = hook coefficient 2011 alternative energy price data.
In a possible implementation manner, when determining the second natural gas price data corresponding to the N time points one to one based on the imported natural gas prices corresponding to the N time points one to one, the second natural gas price data corresponding to the N time points one to one may be set as the imported natural gas prices corresponding to the N time points one to one, or the second natural gas price data corresponding to the N time points one to one may be adjusted up or down in equal amplitude based on the imported natural gas prices corresponding to the N time points one to one, or may be adjusted up or down according to a specified corresponding relationship.
In a possible implementation manner, the alternative energy price data corresponding to the ith time point is obtained by randomly fluctuating within a certain range on the basis of the price of the alternative energy corresponding to the ith-1 time point, where the certain range may be from-0.5 yuan/cubic meter to 0.5 yuan/cubic meter, for example, the alternative energy price data in 2012 is obtained by randomly fluctuating within a range of (-0.5, 0.5) on the basis of the alternative energy price data in 2011, assuming that the alternative energy price data in 2011 is 3.5 yuan, and the alternative energy price data in 2012 may be 3.8 yuan, or may also be 3 yuan, and so on.
4. The fourth natural gas price data policy dictates that: the second natural gas price data corresponding to the ith time point is determined by the alternative energy price data corresponding to the (i-1) th time point; and the price data of the first natural gas data corresponding to the ith time is determined by the price data of the second natural gas corresponding to the i time points.
In a possible implementation manner, when the second natural gas price data corresponding to the ith time point is determined by the alternative energy price data corresponding to the (i-1) th time point, the alternative energy price data corresponding to the (i-1) th time point is acquired as the second natural gas price data corresponding to the ith time point; or acquiring the alternative energy price data corresponding to the (i-1) th time point, randomly fluctuating the alternative energy price data corresponding to the (i-1) th time point to obtain the alternative energy price data corresponding to the ith time point, and acquiring the second natural gas price data corresponding to the ith time point from the average value of the alternative energy price data corresponding to the (i-1) th time point and the alternative energy price data corresponding to the ith time point.
After the second natural gas price data corresponding to the ith time point is determined, obtaining a value of a product of an average value of the second natural gas price data corresponding to the ith-1 time point and the second natural gas price data corresponding to the ith time point and a first discount coefficient as first natural gas price data corresponding to the ith time point.
In a possible implementation manner, the total natural gas output determination process in the embodiment of the present application may be executed by a natural gas system dynamics model, where the natural gas system dynamics model may comprehensively consider interactions and dynamic changes among factors such as natural gas demand data, natural gas supply data, natural gas prices, alternative energy price data, and the like, and may dynamically analyze and predict the total natural gas output corresponding to each time point in the time period to be predicted based on input initial data, where the output total natural gas output set may be affected by a preset predicted data output, that is, if the predicted data output is N, the corresponding N total natural gas outputs corresponding to the N time points.
The above-mentioned determination process of the total natural gas yield can be realized as follows:
and inputting the initial natural gas data and the predicted data quantity N into a natural gas system dynamic model to obtain N total natural gas yields which are output by the natural gas system dynamic model and correspond to N time points one by one. The N total natural gas yields comprise 1 st natural gas yield to Nth natural gas yield, and correspond to the 1 st time point to the Nth time point.
In a possible implementation manner, the computer device in fig. 1 or fig. 3, or the natural gas system dynamics model may fit the total natural gas yields corresponding to the N time points predicted and obtained respectively based on each natural gas price strategy, so as to obtain a total natural gas yield curve under each natural gas price strategy, so that in the process of predicting the total natural gas yields, differences between the total natural gas yields predicted and obtained by different natural gas price strategies are more intuitively compared, and the differences are used as references for engineering staff to adjust the natural gas prices.
Fig. 4 shows a schematic diagram of total natural gas yield curves corresponding to different natural gas price strategies shown in an exemplary embodiment of the present application, and as shown in fig. 4, total natural gas yield curves corresponding to the four natural gas price strategies are respectively fitted to the same graph, a curve 410 is a total natural gas yield curve corresponding to a first natural gas price strategy, a curve 420 is a total natural gas yield curve corresponding to a second natural gas price strategy, a curve 430 is a total natural gas yield curve corresponding to a third natural gas price strategy, and a curve 440 is a total natural gas yield curve corresponding to a fourth natural gas price strategy.
The engineer can visually determine the influence of the total output curve on the total output by the natural gas prices according to the total output curve in the diagram, for example, at the same time point, the total output of the natural gas predicted by using the first natural gas price strategy (curve 410) and the second natural gas price strategy (curve 420) is higher than the total output of the natural gas predicted by using the third natural gas price strategy (curve 430) and the fourth natural gas price strategy (curve 440), the total output of the natural gas predicted by using the fourth natural gas price strategy (curve 440) is higher than the total output of the natural gas predicted by using the third natural gas price strategy (curve 430), and the engineer can select any one of the natural gas price adjustment strategies to apply based on different considerations.
Illustratively, under the first strategy of adjusting the natural gas price, the natural gas price level is maintained unchanged, so that the operating profit and the total amount of assets of domestic natural gas production enterprises are influenced: due to the fact that the price level of the natural gas is low, excessive demand of the natural gas can occur, enterprises need a large amount of imported natural gas to meet domestic demands, and meanwhile, the price of the natural gas is kept unchanged, so that the assets of the enterprises are in a problem; under a third natural gas adjusting strategy, the excessive inlet gas cost is transferred to the gas price of non-resident engineering personnel, so that the difference between the resident gas cost and the non-resident gas cost is too large for a long time; under the fourth natural gas adjusting strategy, the natural gas price is in data hook with the alternative energy price, but the natural gas price can also correspondingly float along with the increase or decrease of the alternative energy price, which is not favorable for the market stability; therefore, on the premise that the three natural gas price adjustment strategies have possible disadvantages, engineers can pay more attention to the total natural gas yield under the second natural gas strategy adopting the fixed price adjustment strategy.
And predicting the change of the total output of the natural gas under different price increase gradients in the future by adjusting a first specified increase value corresponding to the first natural gas price and a second specified increase value corresponding to the second natural gas price so as to provide corresponding natural gas price adjustment guidance for engineering personnel. Fig. 5 is a schematic diagram of a total natural gas yield curve predicted based on different price increase gradients according to an exemplary embodiment of the present application, where, for example, a first specified increase value is the same as a second specified increase value, a curve 510 corresponds to a total natural gas yield curve predicted under a condition that the first specified increase value and the second specified increase value are 0.05 yuan/cubic meter, and a curve 520 corresponds to a total natural gas yield curve predicted under a condition that the first specified increase value and the second specified increase value are 0.1 yuan/cubic meter, as can be seen from fig. 5, adjusting the increase gradients of the natural gas has an influence on the total natural gas yield, but adjusting the increase gradients of the natural gas within a specified range does not have an excessive influence on the total natural gas yield, so that an engineer can grasp and regulate the increase gradients of the natural gas based on the total natural gas yields corresponding to the respective increase gradients.
It should be noted that the present application only provides four natural gas price adjustment strategies by way of illustration, and does not limit the type and number of the natural gas price adjustment strategies.
Fig. 6 shows a block diagram of an apparatus for determining total natural gas yield according to an exemplary embodiment of the present application, where the apparatus may be applied to a computer device, and the computer device may be implemented as a server, and the apparatus includes:
an initial data obtaining module 610, configured to obtain initial natural gas data and a predicted data volume N, where N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data includes an initial total natural gas production and an initial natural gas import quantity; the total natural gas yield refers to the domestic natural gas yield in a specified time period;
the total natural gas output obtaining module 620 is configured to perform at least one total natural gas output determining process until i = N +1, obtain total natural gas outputs corresponding to N time points one to one, where i is an initial value of 1;
the total natural gas production obtaining module 620 includes:
the supply and demand difference data acquisition submodule is used for acquiring the i-1 st supply and demand difference data corresponding to the i-1 st time point; the ith-1 supply and demand difference data corresponding to the ith-1 time point is determined by the ith-1 natural gas data corresponding to the ith-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply quantity data comprises the i-1 th total natural gas production and the i-1 th natural gas inlet quantity;
the first total natural gas yield acquisition sub-module is used for acquiring the i-1 th total natural gas yield corresponding to the i-1 th time point;
the second total natural gas yield acquisition sub-module is used for determining the ith total natural gas yield corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 total natural gas yield;
updating the value of i to i +1;
and responding to i =1, wherein the supply and demand difference data corresponding to the i-1 time point is determined by the initial natural gas data, and the total natural gas production corresponding to the i-1 time point is the initial total natural gas production.
In one possible implementation, the second total natural gas production obtaining sub-module includes:
the yield depreciation calculating unit is used for calculating the i-1 th yield depreciation corresponding to the i-1 th time point based on the i-1 th total natural gas yield, and the i-1 th yield depreciation is used for expressing the calculation error corresponding to the i-1 th time point;
and the second total natural gas production calculating unit is used for determining the ith total natural gas production corresponding to the ith time point based on the ith-1 total natural gas production, the ith-1 supply and demand difference data and the ith-1 yield depreciation quantity.
In one possible implementation, the i-1 th natural gas data comprises an i-1 th depreciation coefficient;
in a possible implementation manner, the yield depreciation calculating unit is used for calculating the i-1 yield depreciation corresponding to the i-1 time point based on the i-1 natural gas total yield and the i-1 depreciation coefficient.
In a possible implementation manner, the initial data obtaining module 610 is configured to, in response to that an i-1 th difference between an i-1 th natural gas demand data and an i-1 th natural gas supply data in an i-1 th natural gas data is greater than 0, obtain the i-1 th difference as an i-1 th supply and demand difference data;
and acquiring the i-1 th supply and demand difference data as 0 in response to the i-1 th difference value between the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data being less than or equal to 0.
In one possible implementation, the natural gas usage population includes a first population and a second population; the first population corresponding to first natural gas price data, the second population corresponding to second natural gas price data, the second natural gas price data being greater than or equal to the first natural gas price data; the initial natural gas price data includes initial first natural gas price data and initial second natural gas price data; the initial natural gas demand data includes initial natural gas demand data corresponding to a first group and initial natural gas demand data corresponding to a second group, and the apparatus further includes:
a first sub-natural gas demand data calculation module for calculating the first sub-natural gas demand data based on the first natural gas price data, the i-1 th alternative energy price data, the first discount coefficient and the i-th group corresponding to the first group 1 -1 natural gas demand data, calculating the ith corresponding to the first population 1 -1 natural gas demand data; the first folding coefficient is a folding coefficient corresponding to the first group;
a second sub-natural gas demand data calculation module for calculating the ith-1 alternative energy price data, the second discount coefficient and the ith corresponding to the second group based on the second natural gas price data 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data; the second discount coefficient is a discount coefficient corresponding to the second group;
a natural gas demand data calculation module for calculating a demand value based on the ith 1 -1 natural gas demand data, and, ith 2 -1 natural gas demand data calculating the i-1 natural gas demand data corresponding to the i-1 time point.
In one possible implementation, the first population corresponds to a first population growth rate and the second population corresponds to a second population growth rate;
the first sub-natural gas demand data calculation module comprises:
the first gas demand increase quantity acquisition submodule is used for responding to the fact that the ith-1 alternative energy price data are larger than the first natural gas price data corresponding to the ith-1 time point, and acquiring the ith natural gas demand quantity data corresponding to the first group and the first group increase rate on the basis of the ith-1 natural gas demand quantity data and the first group increase rate 1 -1 increased demand for gas;
in response to the i-1 th alternative energy price data being less than or equal toEqual to the first natural gas price data based on the ith 1 -1 natural gas demand data, the first population growth rate and the first discount factor, and obtaining the ith corresponding to the first population 1 -1 increased demand for gas;
a first sub-natural gas demand data calculation sub-module for calculating a first sub-natural gas demand data based on the ith 1 1 increased demand for gas and ith 1 -1 natural gas demand data, calculating the ith corresponding to the first population 1 -1 natural gas demand data.
In one possible implementation, the second sub-natural gas demand data calculation module includes:
a second gas demand increase quantity acquisition submodule for responding to the i-1 th alternative energy price data being larger than the second natural gas price data corresponding to the i-1 th time point and based on the i-th alternative energy price data 2 -1, acquiring the ith corresponding to the second population by using the natural gas demand data and the growth rate of the second population 2 -1 increased demand for gas;
responsive to the ith-1 alternative energy price data being less than or equal to the second natural gas price data, basing on the ith 2 -1 natural gas demand data, the second population growth rate and the second discount coefficient, and obtaining the ith corresponding to the second population 2 -1 increased demand for gas;
a second sub-natural gas demand data calculation sub-module for calculating a second natural gas demand based on the ith 2 1 increased demand for gas and ith 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data.
In one possible implementation, the gas price data is determined by a gas price data policy; the natural gas price data strategy comprises a first natural gas price data strategy, a second natural gas price data strategy, a third natural gas price data strategy and a fourth natural gas price data strategy;
the first natural gas price data policy dictates: the first natural gas price data corresponding to the N time points are the same, and the second natural gas price data corresponding to the N time points are the same;
the second natural gas price data policy dictates that: the difference value between the first natural gas price data corresponding to the ith time point and the first natural gas price data corresponding to the (i-1) th time point is a first designated increase value; the difference value between the second natural gas price data corresponding to the ith time point and the second natural gas price data corresponding to the (i-1) th time point is a second specified increase value;
the third day natural gas price data strategy indicates that: the price data of the second natural gas corresponding to the N time points one by one is determined by the price of the imported natural gas corresponding to the N time points one by one, and the price data of the first natural gas corresponding to the N time points one by one is the same;
the fourth natural gas price data strategy indicates: the second natural gas price data corresponding to the ith time point is determined by the alternative energy price data corresponding to the (i-1) th time point; and the price data of the first natural gas data corresponding to the ith time is determined by the price data of the second natural gas corresponding to the i time points.
In summary, according to the method for determining total natural gas output provided by the embodiment of the application, the initial natural gas data including the initial natural gas price data, the initial natural gas supply output data, the initial natural gas demand data and the initial alternative energy price data are iterated for N times, and the total natural gas output corresponding to each of N time points in the future is predicted based on the initial natural gas data, so that the purpose of predicting the total natural gas output based on the natural gas price is achieved, a feasible method for predicting the total natural gas output is provided from the microscopic perspective of the natural gas price, and the accuracy of predicting the total natural gas output is improved.
FIG. 7 is a block diagram illustrating the structure of a computer device 700 according to an example embodiment. The computer device may be a server for executing the method for determining total natural gas production provided by the embodiment of the present application, and the computer device 700 includes a Central Processing Unit (CPU) 701, a system Memory 704 including a Random Access Memory (RAM) 702 and a Read-Only Memory (ROM) 703, and a system bus 705 connecting the system Memory 704 and the Central Processing Unit 701. The computer device 700 also includes a basic Input/Output system (I/O system) 706, which facilitates transfer of information between devices within the computer, and a mass storage device 707 for storing an operating system 713, application programs 714, and other program modules 715.
The basic input/output system 706 comprises a display 708 for displaying information and an input device 709, such as a mouse, keyboard, etc., for a user to input information. Wherein the display 708 and input device 709 are connected to the central processing unit 701 through an input output controller 710 connected to the system bus 705. The basic input/output system 707 may also include an input/output controller 710 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 710 may also provide output to a display screen, a printer, or other type of output device.
The mass storage device 707 is connected to the central processing unit 701 through a mass storage controller (not shown) connected to the system bus 705. The mass storage device 707 and its associated computer-readable media provide non-volatile storage for the computer device 700. That is, the mass storage device 707 may include a computer-readable medium (not shown) such as a hard disk or Compact Disc-Only Memory (CD-ROM) drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, erasable Programmable Read-Only Memory (EPROM), electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other solid state Memory technology, CD-ROM, digital Versatile Disks (DVD), or other optical, magnetic, or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 704 and mass storage device 707 described above may be collectively referred to as memory.
According to various embodiments of the present application, the computer device 700 may also operate as a remote computer connected to a network via a network, such as the Internet. That is, the computer device 700 may be connected to the network 712 through the network interface unit 711 connected to the system bus 705, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 711.
The memory further includes one or more programs, the one or more programs are stored in the memory, and the central processing unit 701 implements all or part of the steps of the method shown in fig. 1, fig. 2 or fig. 3 by executing the one or more programs.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
In an exemplary embodiment, a non-transitory computer readable storage medium including instructions, such as a memory including at least one instruction, at least one program, set of codes, or set of instructions, executable by a processor to perform all or part of the steps of the method shown in any of the embodiments of fig. 1, 2, or 3 above, is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. The computer instructions are read by a processor of a computer device from a computer readable storage medium, and the computer instructions are executed by the processor to enable the computer device to execute all or part of the steps of the total natural gas production determination method shown in any one of the embodiments of fig. 1, fig. 2 or fig. 3.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method for determining total natural gas production, the method comprising:
acquiring initial natural gas data and a predicted data quantity N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply data comprises an initial total natural gas production and an initial natural gas import quantity; the total natural gas yield refers to the domestic natural gas yield in a specified time period;
executing at least one natural gas total output determining process until i = N +1, and acquiring natural gas total outputs corresponding to N time points one by one, wherein an initial value of i is 1; the process for determining the total natural gas yield comprises the following steps:
acquiring the i-1 th supply and demand difference data corresponding to the i-1 th time point; the i-1 supply and demand difference data corresponding to the i-1 time point is determined by the i-1 natural gas data corresponding to the i-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply quantity data comprise the i-1 th total natural gas production and the i-1 th natural gas inlet quantity;
acquiring the total yield of the i-1 th natural gas corresponding to the i-1 th time point;
determining the ith natural gas total production corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 natural gas total production;
updating the value of i to i +1;
wherein, in response to i =1, the supply and demand difference data corresponding to the i-1 st time point is determined from the initial natural gas data, and the total natural gas production corresponding to the i-1 st time point is the initial total natural gas production.
2. The method of claim 1, wherein determining the ith total gas production at the ith time point based on the ith-1 supply-demand difference data and the ith-1 total gas production comprises:
calculating the i-1 yield depreciation amount corresponding to the i-1 time point based on the i-1 natural gas total yield, wherein the i-1 yield depreciation amount is used for representing the calculation error corresponding to the i-1 time point;
and determining the ith natural gas total production corresponding to the ith time point based on the ith-1 natural gas total production, the ith-1 supply and demand difference data and the ith-1 yield depreciation amount.
3. The method of claim 2, the i-1 natural gas data comprises an i-1 depreciation coefficient;
the step of calculating the i-1 yield depreciation amount corresponding to the i-1 time point based on the i-1 th total natural gas yield comprises the following steps:
and calculating the i-1 th yield depreciation amount corresponding to the i-1 th time point based on the i-1 th natural gas total yield and the i-1 th depreciation coefficient.
4. The method of claim 1, wherein the obtaining of the i-1 st supply and demand difference data corresponding to the i-1 st time point comprises:
responding to the i-1 difference value of the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data to be larger than 0, and acquiring the i-1 th difference value as the i-1 th supply and demand difference data;
and acquiring the i-1 th supply and demand difference data as 0 in response to the i-1 th difference between the i-1 th natural gas demand data and the i-1 th natural gas supply data in the i-1 th natural gas data being less than or equal to 0.
5. The method of claim 4, wherein the natural gas usage population comprises a first population and a second population; the first population corresponding to first natural gas price data and the second population corresponding to second natural gas price data, the second natural gas price data being greater than or equal to the first natural gas price data; the initial natural gas price data comprises initial first natural gas price data and initial second natural gas price data; the initial natural gas demand data includes initial natural gas demand data corresponding to a first group and initial natural gas demand data corresponding to a second group, and the method further includes:
based on the first natural gas price data, the (i-1) th alternative energy price data, the first folding coefficient and the (i) th group corresponding to the first group 1 -1 natural gas demand data, calculating the ith corresponding to said first population 1 -1 natural gas demand data; the first discount coefficient is a discount coefficient corresponding to the first group;
based on the second natural gas price data, the (i-1) th alternative energy price data, a second discount coefficient and the (i) th group corresponding to the second group 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data; the second discount coefficient is a discount coefficient corresponding to the second group;
based on the ith 1 -1 natural gas demand data, and, said ith 2 -1 natural gas demand data calculating the i-1 natural gas demand data corresponding to the i-1 time point.
6. The method of claim 5, wherein the first population corresponds to a first population growth rate and the second population corresponds to a second population growth rate;
the data based on the first natural gas price data, the i-1 th alternative energy price data, the first discount coefficient and the i 1 -1 natural gas demand data, calculating the ith corresponding to said first population 1 -1 natural gas demand data comprising:
in response to the fact that the ith-1 alternative energy price data is larger than the first natural gas price data corresponding to the ith-1 time point, acquiring the ith natural gas corresponding to the first group based on the ith-1 natural gas demand data and the first group growth rate 1 -1 increased demand for gas;
in response to the i-1 th alternative energy price data being less than or equal to the first natural gas price data corresponding to the i-1 st time point, basing on the i-th alternative energy price data 1 -1 natural gas demand data, said first population growth rate and said first folding factor, obtaining the ith corresponding to said first population 1 -1 increased demand for gas;
based on the ith 1 -1 increased demand for gas and said ith 1 -1 natural gas demand data, calculating the ith corresponding to said first population 1 -1 natural gas demand data;
said based on said second natural gas price data, saidThe ith-1 alternative energy price data, the second discount coefficient and the ith group corresponding to the second group 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data comprising:
responsive to the i-1 th alternative energy price data being greater than the second natural gas price data corresponding to the i-1 st time point, basing the i-th alternative energy price data on 2 -1, acquiring the ith natural gas demand data and the growth rate of the second population, and corresponding to the second population 2 -1 increased demand for gas;
responsive to the i-1 th alternative energy price data being less than or equal to the second natural gas price data corresponding to the i-1 st time point, basing the i-th alternative energy price data on 2 -1 natural gas demand data, the second population growth rate and the second discount coefficient, and obtaining the ith corresponding to the second population 2 -1 increased demand for gas;
based on the ith 2 -1 increased demand for gas and said ith 2 -1 natural gas demand data, calculating the ith corresponding to the second population 2 -1 natural gas demand data.
7. The method of any one of claims 1 to 6, wherein the natural gas price data is determined by a natural gas price data strategy; the natural gas price data strategy comprises a first natural gas price data strategy, a second natural gas price data strategy, a third natural gas price data strategy and a fourth natural gas price data strategy;
the first natural gas price data policy indicates: the first natural gas price data corresponding to the N time points are the same, and the second natural gas price data corresponding to the N time points are the same;
the second natural gas price data policy indicates: the difference value between the first natural gas price data corresponding to the ith time point and the first natural gas price data corresponding to the (i-1) th time point is a first specified increase value; the difference value between the second natural gas price data corresponding to the ith time point and the second natural gas price data corresponding to the i-1 th time point is a second specified increase value;
the third natural gas price data policy indicates: the second natural gas price data corresponding to the N time points one by one is determined by the import natural gas prices corresponding to the N time points one by one, and the first natural gas price data corresponding to the N time points one by one are the same;
the fourth natural gas price data policy indicates: the second natural gas price data corresponding to the ith time point is determined by the alternative energy price data corresponding to the (i-1) th time point; the first natural gas data price data corresponding to the ith time is determined by the second natural gas price data corresponding to the i time points.
8. An apparatus for determining total natural gas production, the apparatus comprising:
the initial data acquisition module is used for acquiring initial natural gas data and a predicted data volume N, wherein N is a positive integer; the initial natural gas data comprises initial natural gas price data, initial natural gas supply quantity data, initial natural gas demand quantity data and initial alternative energy price data; the initial natural gas supply volume data comprises an initial total natural gas production and an initial natural gas import volume; the total natural gas yield refers to the domestic natural gas yield in a specified time period;
the total natural gas output obtaining module is used for executing at least one total natural gas output determining process until i = N +1, obtaining the total natural gas output corresponding to the N time points one by one, and setting an initial value of i to be 1;
the total natural gas production acquisition module comprises:
the supply and demand difference data acquisition submodule is used for acquiring the i-1 st supply and demand difference data corresponding to the i-1 st time point; the i-1 supply and demand difference data corresponding to the i-1 time point is determined by the i-1 natural gas data corresponding to the i-1 time point; the ith-1 natural gas data comprise ith-1 natural gas price data, ith-1 natural gas supply quantity data, ith-1 natural gas demand quantity data and ith-1 alternative energy price data; the i-1 th natural gas supply quantity data comprise the i-1 th total natural gas production and the i-1 th natural gas inlet quantity;
the first total natural gas yield acquisition sub-module is used for acquiring the total yield of the ith-1 natural gas corresponding to the ith-1 time point;
the second total natural gas yield acquisition sub-module is used for determining the ith total natural gas yield corresponding to the ith time point based on the ith-1 supply and demand difference data and the ith-1 total natural gas yield;
updating the value of i to i +1;
wherein, in response to i =1, the supply and demand difference data corresponding to the i-1 st time point is determined from the initial natural gas data, and the total natural gas production corresponding to the i-1 st time point is the initial total natural gas production.
9. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the total gas production determination method according to any one of claims 1 to 7.
10. A computer readable storage medium having at least one instruction, at least one program, set of codes, or set of instructions stored therein, which is loaded and executed by a processor to implement the total gas production determination method as claimed in any one of claims 1 to 7.
CN202110341211.1A 2021-03-30 2021-03-30 Methods, apparatus, computer equipment and storage media for determining total natural gas production Active CN115146813B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110341211.1A CN115146813B (en) 2021-03-30 2021-03-30 Methods, apparatus, computer equipment and storage media for determining total natural gas production

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110341211.1A CN115146813B (en) 2021-03-30 2021-03-30 Methods, apparatus, computer equipment and storage media for determining total natural gas production

Publications (2)

Publication Number Publication Date
CN115146813A true CN115146813A (en) 2022-10-04
CN115146813B CN115146813B (en) 2025-12-30

Family

ID=83404098

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110341211.1A Active CN115146813B (en) 2021-03-30 2021-03-30 Methods, apparatus, computer equipment and storage media for determining total natural gas production

Country Status (1)

Country Link
CN (1) CN115146813B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186815A1 (en) * 2013-12-30 2015-07-02 Industry-Academic Cooperation Foundation, Yonsei University System and method for analysing business environment of overseas gas plant project
CN105134196A (en) * 2015-09-02 2015-12-09 中国石油天然气股份有限公司 A method and device for analyzing the development index of fracture-cavity carbonate condensate gas wells
US20160180357A1 (en) * 2014-12-17 2016-06-23 Genscape Intangible Holding, Inc. Method for estimating crude oil production
CN106779140A (en) * 2016-11-15 2017-05-31 红有软件股份有限公司 A kind of analysis of manufacturing capability of Unconventional gas coal bed gas well and the method for production forecast
CN108009749A (en) * 2017-12-22 2018-05-08 新奥（中国）燃气投资有限公司 A kind of Natural gas data processing method and processing device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186815A1 (en) * 2013-12-30 2015-07-02 Industry-Academic Cooperation Foundation, Yonsei University System and method for analysing business environment of overseas gas plant project
US20160180357A1 (en) * 2014-12-17 2016-06-23 Genscape Intangible Holding, Inc. Method for estimating crude oil production
CN105134196A (en) * 2015-09-02 2015-12-09 中国石油天然气股份有限公司 A method and device for analyzing the development index of fracture-cavity carbonate condensate gas wells
CN106779140A (en) * 2016-11-15 2017-05-31 红有软件股份有限公司 A kind of analysis of manufacturing capability of Unconventional gas coal bed gas well and the method for production forecast
CN108009749A (en) * 2017-12-22 2018-05-08 新奥（中国）燃气投资有限公司 A kind of Natural gas data processing method and processing device

Also Published As

Publication number Publication date
CN115146813B (en) 2025-12-30

Similar Documents

Publication Publication Date Title
JP6182238B2 (en) Automatic demand response energy management system
US9429921B2 (en) Method and system for energy control management
WO2013102932A2 (en) System and method facilitating forecasting, optimization and visualization of energy data for an industry
JP5248372B2 (en) Power generation plan creation method, device, program, and storage device
WO2020103048A1 (en) Energy storage management and control method, system, computer device, and storage medium
US11631102B2 (en) Optimization of markdown schedules for clearance items at physical retail stores
JP2018064454A (en) Power transaction management system and power transaction management method
US20130297530A1 (en) Methods and Apparatus for Improving Factor Risk Model Responsiveness
CN109118012B (en) Industrial dynamic multi-dimensional energy consumption cost prediction method, system, storage medium and terminal
CN107909463A (en) Bank outlets' cash demand Forecasting Methodology and device, prediction allot system
JP2016163511A (en) Power demand amount prediction system, power demand amount prediction method, and program
JP2015164026A (en) Prediction system and method
US20250259251A1 (en) Method for determining and allocating gas maintenance task based on smart gas and internet of things system thereof
JP2014204581A (en) Planning unit, planning system, planning method and planning program
CN115147136A (en) Natural gas supply and demand difference determining method and device, computer equipment and storage medium
JP2022090134A (en) Management device and management method
JP2019046467A (en) Power transaction support apparatus and power transaction support method
Olawumi et al. Enhancing grid stability with machine learning: A smart predictive approach to residential energy management
Zhang et al. Dynamic multiobjective two-stage fuzzy stochastic strategy for optimal water allocation in inter-basin water division under changing environment: A case study of Hanjiang-to-Weihe water division in Shaanxi Province, China
JP2016148945A (en) Power trading support system, power trading support method and program
CN108879794B (en) A method for hourly combination optimization and scheduling of power system units
CN115511631A (en) Carbon transaction method and device, electronic equipment and storage medium
JP2016136313A (en) Optimal transaction volume determination system, optimal transaction volume determination method and program
US20220058755A1 (en) Systems and methods for providing fluid resources
CN115146813A (en) Method and device for determining total natural gas yield, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant