Behavioral decision-making in power demand-side response management: A multi-population evolutionary game dynamics perspective
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference84 articles.
1. Demand response algorithms for smart-grid ready residential buildings using machine learning models;Pallonetto;Appl Energy,2019
2. A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers;Su;Appl Energy,2014
3. Fan HP, Yu M. A new two-stage game framework for power demand/response management in smart grids. In: Proc IEEE Int Conf Netw, Sens, Control, ICNSC 2017: 441-446.
4. Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview;Cheng;IEEE Access,2019
5. Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review;Antonopoulos;Renew Sustain Energy Rev,2020
Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Study of Flexibility Transformation in Thermal Power Enterprises under Multi-Factor Drivers: Application of Complex-Network Evolutionary Game Theory;Mathematics;2024-08-16
2. How to promote the sustainability of China's rural waste management system: Increase government subsidies or increase waste service management fees?;Natural Resources Forum;2024-04-11
3. Examining behavioral strategies of residents and enterprises in the context of subsidy phase-outs for waste incineration power plants;Journal of Cleaner Production;2024-03
4. Game-Theoretic Applications for Decision-Making Behavior on the Energy Demand Side: a Systematic Review;Protection and Control of Modern Power Systems;2024-03
5. A logic Petri net model for dynamic multi-agent game decision-making;Decision Analytics Journal;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3