Stochastic Demand Response Management Using Mixed-Strategy Stackelberg Game-Reference-Cited by-同舟云学术

Stochastic Demand Response Management Using Mixed-Strategy Stackelberg Game

Published:2022-09 Issue:3 Volume:16 Page:4708-4718
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Samadi Mikhak¹,Kebriaei Hamed²^ORCID,Schriemer Henry¹,Erol-Kantarci Melike¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

2. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

Funder

NSERC CREATE

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/9866865/09733023.pdf?arnumber=9733023

Reference60 articles.

1. Stochastic Optimization for Residential Demand Response With Unit Commitment and Time of Use

2. Incentives to Manipulate Demand Response Baselines With Uncertain Event Schedules

3. Simultaneous power and heat scheduling of microgrids considering operational uncertainties: A new stochastic p-robust optimization approach

4. Optimal performance of microgrid in the presence of demand response exchange: A stochastic multi-objective model

5. A hybrid demand response mechanism based on real-time incentive and real-time pricing

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