[go: up one dir, main page]

Ling, 2024 - Google Patents

Methods and tools for an online service infrastructure for energy communities in the context of collective self-consumption

Ling, 2024

View PDF
Document ID
13846024238971730127
Author
Ling H
Publication year

External Links

Snippet

Addressing climate change requires enhancing renewable and low-carbon energy use in residences, eco-districts, and regions. Our study examines a housing group sharing locally produced solar energy, an approach now regulated by the France as Collective Self …
Continue reading at theses.hal.science (PDF) (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
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • 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
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation and communication or information technologies
    • Y04S50/14Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Similar Documents

Publication Publication Date Title
Khan et al. Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
US20220172233A1 (en) Load forecasting from individual customer to system level
Han et al. Home energy management systems: A review of the concept, architecture, and scheduling strategies
US20230334599A1 (en) Methods and systems for machine-learning for prediction of grid carbon emissions
US11876374B2 (en) System and method for optimal control of energy storage system
Chreim et al. Recent sizing, placement, and management techniques for individual and shared battery energy storage systems in residential areas: A review
Alam et al. Computational methods for residential energy cost optimization in smart grids: A survey
JP2020501491A (en) System and method for dynamic energy storage system control
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
Zhou et al. Smart energy management
Barja Martínez Energy management systems for smart homes and local energy communities based on optimization and artificial intelligence techniques
Qaisar et al. A comprehensive review on the application of machine learning techniques for analyzing the smart meter data
Ling Methods and tools for an online service infrastructure for energy communities in the context of collective self-consumption
Binz Varghese Baseline load estimation of residential customers for incentive based demand response programs
Tyagi et al. Transforming electrical load from an operational constraint to a controllable resource
Coignard Local energy community: sharing energy resources connected to the distribution grid.
Pretorius Development of a demand response programme for the coal mining industry
Kiguchi Residential Demand Response using Electricity Smart Meter Data
Maksimovich Analysis of Capabilities of Machine Learning for Local Energy Communities to Provide Flexibility to the Grid
Omar Predicting Synthetic Load Profile Using ANFIS Based on Electricity Usage Behaviour
Mahmud A real-time demand response pricing model for the smart grid
Petrucci A Methodology for Optimal Load Management and Aggregation Strategies in Grid-Interactive Building Clusters
He Advanced Modeling and Optimization Techniques for Smart Grids: From Prosumer Behavior to Three-Phase Distribution Systems Analyses
Islam et al. A methodological analysis of consumption patterns and anomaly detection in prepaid and postpaid metering systems: an N-BEATS-driven predictive modeling approach
Weixian Internet of Things (IoT) based Adaptive Energy Management System for Smart Homes