[go: up one dir, main page]

Luján et al., 2018 - Google Patents

Cloud computing for smart energy management (CC-SEM project)

Luján et al., 2018

Document ID
6264163641396249306
Author
Luján E
Otero A
Valenzuela S
Mocskos E
Steffenel L
Nesmachnow S
Publication year
Publication venue
Ibero-American Congress of Smart Cities

External Links

Snippet

This paper describes the Cloud Computing for Smart Energy Management (CC-SEM) project, a research effort focused on building an integrated platform for smart monitoring, controlling, and planning energy consumption and generation in urban scenarios. The …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Siano et al. Designing and testing decision support and energy management systems for smart homes
Li et al. Predicting Short‐Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment
CN106796577A (en) Use the energy foundation facility sensor data correction of regression model
Luján et al. Cloud computing for smart energy management (CC-SEM project)
Luján et al. An integrated platform for smart energy management: the CC-SEM project
Haase et al. The IOT mediated built environment: A brief survey
Mahmood et al. An IoT based home automation integrated approach: Impact on society in sustainable development perspective
Aliero et al. Systematic mapping study on energy optimization solutions in smart building structure: opportunities and challenges
Li et al. Research on key technologies of high energy efficiency and low power consumption of new data acquisition equipment of power Internet of Things based on artificial intelligence
KR20210011745A (en) Big data based energy demand and supply forecasting system and method for zero-energy town building
Berbakov et al. Smart energy manager for energy efficient buildings
JP6845789B2 (en) Usage prediction programs, devices and methods using the weights of attribute clusters
Ruano et al. Home energy management system in an algarve residence. first results
Ruano et al. From home energy management systems to energy communities: methods and data
Kormpakis et al. Home Energy Management Systems: Challenges, Heterogeneity & Integration Architecture Towards A Smart City Ecosystem
Baima et al. Public Sector Sustainable Energy Scheduler--A Blockchain and IoT Integrated System
Dagsa et al. IoT-enabled energy consumption monitoring and control system for a single-phase building
Huang et al. Real-time monitoring and optimization methods for user-side energy management based on edge computing
Zhou et al. Dynamic heating station representative indoor temperature extraction method based on k-means clustering
Buhari et al. Design and Modeling of an AI-Powered Industrial Maximum Demand Controller With Web Service Interface
JP2022151173A (en) Power control system and method
Bu et al. Distributed unit commitment scheduling in the future smart grid with intermittent renewable energy resources and stochastic power demands
Tomic et al. Green home: The concept and study of grid responsiveness
Mariappan Internet of things-enabled smart campus energy management and control with soft computing approach
Bedi Internet of Things and intelligent technologies for efficient energy management in a smart building environment