Data-Driven Wind Farm Control via Multiplayer Deep Reinforcement Learning
Author:
Affiliation:
1. Intelligent Control and Smart Energy (ICSE) Research Group, School of Engineering, University of Warwick, Coventry, U.K
Funder
U.K. Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/87/10108397/09965578.pdf?arnumber=9965578
Reference25 articles.
1. A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization*
2. Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning
3. Composite Experience Replay-Based Deep Reinforcement Learning With Application in Wind Farm Control
4. Intelligent wind farm control via deep reinforcement learning and high-fidelity simulations
5. Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization
Cited by 15 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. Localized data‐driven consensus control for continuous‐time multi‐agent systems;International Journal of Robust and Nonlinear Control;2024-09-08
2. Path-Following Control of Unmanned Underwater Vehicle Based on an Improved TD3 Deep Reinforcement Learning;IEEE Transactions on Control Systems Technology;2024-09
3. Data-Driven PID Controller of Wind Turbine Systems Using Safe Experimentation Dynamics Algorithm;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06
4. Leveling control of multi-cylinder hydraulic press based on multi-agent reinforcement learning;Transactions of the Institute of Measurement and Control;2024-04-11
5. An inertial control method for large-scale wind farm based on hierarchical distributed hybrid deep-reinforcement learning;Journal of Cleaner Production;2024-04
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