[go: up one dir, main page]

Afzalan et al., 2018 - Google Patents

Efficient integration of smart appliances for demand response programs

Afzalan et al., 2018

Document ID
3681636589600737999
Author
Afzalan M
Jazizadeh F
Publication year
Publication venue
Proceedings of the 5th Conference on Systems for Built Environments

External Links

Snippet

Power utilities rely on Demand Response (DR) programs in order to shave the peak load at critical times, when there is an excessive demand. In the context of automation, DR programs are categorized as manual or automated. With the emergence of home energy …
Continue reading at dl.acm.org (other versions)

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
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202—Market predictions or demand forecasting
    • 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
    • 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"
    • 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
    • Y04S20/00—Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20—End-user application control systems
    • Y04S20/22—The system characterised by the aim of the control
    • 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
    • Y04S20/00—Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20—End-user application control systems
    • Y04S20/24—The system characterised by the end-user application
    • Y04S20/242—The system characterised by the end-user application the end-user application being or involving home appliances
    • Y04S20/244—The system characterised by the end-user application the end-user application being or involving home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units

Similar Documents

Publication Publication Date Title
Afzalan et al. Residential loads flexibility potential for demand response using energy consumption patterns and user segments
US20210056647A1 (en) Method for multi-dimensional identification of flexible load demand response effect
Kodaira et al. Optimal energy storage system operation for peak reduction in a distribution network using a prediction interval
CN111027872B (en) Method and system for determining electricity utilization maturity of regional users
CN109193630B (en) A kind of flexible load adjustable interval prediction method and device
Afzalan et al. Efficient integration of smart appliances for demand response programs
Rashid et al. Revisiting selection of residential consumers for demand response programs
Jha et al. Emission-aware energy storage scheduling for a greener grid
Afzalan et al. Data-driven identification of consumers with deferrable loads for demand response programs
Barreto et al. Clustering direct load control appliances in the context of demand response programs in energy communities
Li et al. A sustainable and user-behavior-aware cyber-physical system for home energy management
Bellenbaum et al. Designing flexibility procurement markets for congestion management: Investigating two stage procurement auctions
AbuBaker Household electricity load forecasting toward demand response program using data mining techniques in a traditional power grid
Zhou et al. Eliciting private user information for residential demand response
Frazzetto et al. Adaptive user-oriented direct load-control of residential flexible devices
Li et al. Feature analysis of generalized load patterns considering active load response to real-time pricing
Oprea et al. Sliding time window electricity consumption optimization algorithm for communities in the context of big data processing
Mayes et al. Using neural networks to forecast marginal emissions factors: A CAISO case study
Manembu et al. Multi-grained household load profile analysis using smart meter data: the case of Indonesia
CN113222266A (en) Prediction model matching method based on large daily water meter data
CN114881463B (en) Intelligent energy management method and system based on Internet of things
Xiang et al. Day-ahead probabilistic forecasting of smart households’ demand response capacity under incentive-based demand response program
CN117856245A (en) Grid management-based method, device and storage medium for analyzing line loss of transformer area
CN117856234A (en) Power load prediction method and system based on demand side response
CN111160601A (en) Electric appliance demand response potential prediction method aiming at user power consumption data