Coordinated energy management strategy for multi-energy hub with thermo-electrochemical effect based power-to-ammonia: A multi-agent deep reinforcement learning enabled approach
Author:
Funder
Sichuan Province Science and Technology Support Program
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference68 articles.
1. Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework;Lee;Renew. Energy,2022
2. Outdoor comparison of two organic photovoltaic panels: the effect of solar incidence angles and incident irradiance;Magadley;Renew. Energy,2021
3. Optimal capacity configuration model of power-to-gas equipment in wind-solar sustainable energy systems based on a novel spatiotemporal clustering algorithm: a pathway towards sustainable development;Lv;Renew. Energy,2022
4. Energy management system for optimal cost and storage utilization of renewable hybrid energy microgrid;Merabet;Energy Convers. Manag.,2022
5. Real-time energy storage management for renewable integration in microgrid: an off-line optimization approach;Rahbar;IEEE Trans. Smart Grid,2015
Cited by 10 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. Multi-agent consistent cost optimization for hybrid energy system;Journal of Energy Storage;2024-09
2. Optimal design of hydrogen production processing coupling alkaline and proton exchange membrane electrolyzers;Energy;2024-09
3. Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review;International Journal of Hydrogen Energy;2024-08
4. Home energy management strategy to schedule multiple types of loads and energy storage device with consideration of user comfort: a deep reinforcement learning based approach;Frontiers in Thermal Engineering;2024-06-05
5. A deep reinforcement learning approach based energy management strategy for home energy system considering the time-of-use price and real-time control of energy storage system;Energy Reports;2024-06
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