Battula et al., 2020 - Google Patents
A customer-centric approach to bid-based transactive energy system designBattula 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 …
- 238000009826 distribution 0 abstract description 26
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 |
|---|---|---|
| Li et al. | Transactive energy systems: The market-based coordination of distributed energy resources | |
| Cui et al. | Game-based peer-to-peer energy sharing management for a community of energy buildings | |
| Jia et al. | Dynamic pricing and distributed energy management for demand response | |
| Zhang et al. | Stochastic optimal energy management and pricing for load serving entity with aggregated TCLs of smart buildings: A Stackelberg game approach | |
| Chen et al. | Strategic bidding and compensation mechanism for a load aggregator with direct thermostat control capabilities | |
| Li et al. | Integrating home energy simulation and dynamic electricity price for demand response study | |
| Hao et al. | Transactive control of commercial buildings for demand response | |
| 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 | |
| Battula et al. | A customer-centric approach to bid-based transactive energy system design | |
| Nair et al. | A hierarchical local electricity market for a der-rich grid edge | |
| Bedoya et al. | Decentralized transactive energy for flexible resources in distribution systems | |
| 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 | |
| Georges et al. | A general methodology for optimal load management with distributed renewable energy generation and storage in residential housing | |
| Zachar et al. | Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands | |
| Fu et al. | Optimal configuration method of demand-side flexible resources for enhancing renewable energy integration | |
| Yin et al. | Distributionally robust bilevel optimization model for distribution network with demand response under uncertain renewables using Wasserstein metrics | |
| Wang et al. | Coordinated residential energy resource scheduling with human thermal comfort modelling and renewable uncertainties | |
| Anwar et al. | A multi-perspective model for evaluation of residential thermal demand response | |
| Watari et al. | Thermal comfort aware online energy management framework for a smart residential building | |
| Nguyen et al. | Transactive energy design for integrated transmission and distribution systems | |
| Gao et al. | Intelligent building energy management considering uncertainties and variation of day-ahead and real-time electricity prices | |
| Siano et al. | A novel method for evaluating the impact of residential demand response in a real time distribution energy market | |
| Zucker et al. | Energy aware building automation enables Smart Grid-friendly buildings |