Nothing Special   »   [go: up one dir, main page]

Battula et al., 2020 - Google Patents

A customer-centric approach to bid-based transactive energy system design

Battula et al., 2020

View PDF
Document ID
8842640082849463345
Author
Battula S
Tesfatsion L
Wang Z
Publication year
Publication venue
IEEE Transactions on Smart Grid

External Links

Snippet

This study demonstrates how bid-based transactive energy system designs can be formulated from a customer-centric vantage point to encourage voluntary customer participation. Supportive evidence is provided for distribution systems populated by …
Continue reading at ieeexplore.ieee.org (PDF) (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
    • 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"
    • 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
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design

Similar Documents

Publication Publication Date Title
Liu et al. Coordinating the operations of smart buildings in smart grids
Jia et al. Dynamic pricing and distributed energy management for demand response
Cui et al. Game-based peer-to-peer energy sharing management for a community of energy buildings
Chen et al. Strategic bidding and compensation mechanism for a load aggregator with direct thermostat control capabilities
Li et al. Transactive energy systems: The market-based coordination of distributed energy resources
Hao et al. Transactive control of commercial buildings for demand response
Li et al. Integrating home energy simulation and dynamic electricity price for demand response study
Zhang et al. Stochastic optimal energy management and pricing for load serving entity with aggregated TCLs of smart buildings: A Stackelberg game approach
Hurtado et al. Enabling cooperative behavior for building demand response based on extended joint action learning
Wei et al. Proactive demand participation of smart buildings in smart grid
Amin et al. Optimal price based control of HVAC systems in multizone office buildings for demand response
Reis et al. A multi-agent system approach to exploit demand-side flexibility in an energy community
Yoon et al. Retail electricity pricing via online-learning of data-driven demand response of HVAC systems
Battula et al. A customer-centric approach to bid-based transactive energy system design
Bedoya et al. Decentralized transactive energy for flexible resources in distribution systems
Cheng et al. Hierarchical reserve allocation with air conditioning loads considering lock time using Benders decomposition
Nair et al. A hierarchical local electricity market for a der-rich grid edge
Jia et al. Day ahead dynamic pricing for demand response in dynamic environments
Chen et al. A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model
Zachar et al. Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands
Reis et al. Towards inclusive community-based energy markets: A multiagent framework
Yang et al. Bi-level decentralized control of electric heating loads considering wind power accommodation in real-time electricity market
Wang et al. Tri-level hybrid interval-stochastic optimal scheduling for flexible residential loads under GAN-assisted multiple uncertainties
Wang et al. Coordinated residential energy resource scheduling with human thermal comfort modelling and renewable uncertainties
Nguyen et al. Transactive energy design for integrated transmission and distribution systems