Yu et al., 2019 - Google Patents
Research Long-Run Equilibrium and Short-Term Volatility of Energy Demand in Liaoyang City Based on Mathematical ModelingYu et al., 2019
- Document ID
- 13449967256030240140
- Author
- Yu X
- Sun L
- Publication year
- Publication venue
- International Conference on Application of Intelligent Systems in Multi-modal Information Analytics
External Links
Snippet
In order to forecast the future energy demand in Liaoyang City, based on the previous energy consumption in Liaoyang City, a grey GM (1, 1) model and a cubic exponential smoothing model are respectively established, which are combined a new model after …
- 238000005265 energy consumption 0 abstract description 65
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/54—Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension
- Y04S10/545—Computing methods or systems for efficient or low carbon management or operation of electric power systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
- Y04S40/20—Information technology specific aspects
- Y04S40/22—Computer aided design [CAD]; Simulation; Modelling
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lehr et al. | Renewable energy and employment in Germany | |
| Cong | An optimization model for renewable energy generation and its application in China: a perspective of maximum utilization | |
| Sun et al. | Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S | |
| Niu et al. | Measurement on carbon lock-in of China based on RAGA-PP model | |
| Luo et al. | Bi-level multi-objective optimization of design and subsidies for standalone hybrid renewable energy systems: A novel approach based on artificial neural network | |
| Lee et al. | Energy consumption, CO2 emission, and economic growth: Evidence from Mexico | |
| Huang et al. | Individual new energy consumption and economic growth in China | |
| Zhou et al. | Derivation of water and power operating rules for multi-reservoirs | |
| Safina et al. | Paradox of alternative energy consumption: Lean or profligacy? | |
| Ostapenko | Estimation of tendencies of transforming the energy sectors of World, European Union and Ukraine in the perspective to 2050 with using the renewable energy sources in the concept of Sustainable Development | |
| Galperova et al. | Digitalization and energy consumption | |
| Rafikova et al. | Assessment of the economic effectiveness of energy saving measures | |
| Zhu et al. | Structural analysis and total coal demand forecast in China | |
| Chang et al. | Ultra-short-term wind power forecasting based on feature weight analysis and cluster dynamic division | |
| Pang et al. | Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition | |
| Zhang et al. | Quarterly GDP forecast based on coupled economic and energy feature WA-LSTM model | |
| Zhang et al. | Nonlinear effect analysis of electricity price on household electricity consumption | |
| Wu et al. | A runoff-based hydroelectricity prediction method based on meteorological similar days and XGBoost model | |
| Yu et al. | Research Long-Run Equilibrium and Short-Term Volatility of Energy Demand in Liaoyang City Based on Mathematical Modeling | |
| Li et al. | A two-stage optimal operation strategy for community integrated energy system considering dynamic and static energy characteristics | |
| Dai | Short-term load forecasting with deep learning techniques | |
| Pang et al. | A photovoltaic power predicting model using the differential evolution algorithm and multi-task learning | |
| Zhao et al. | Combined model electricity load forecasting based on NeuralProphet and Bi-LSTM-SA | |
| Wang et al. | Economic dispatch of power system containing wind power and photovoltaic considering carbon trading and spare capacity variation | |
| Gao et al. | A data-driven analysis method for the trajectory of power carbon emission in the urban area |