Demonstration of Intelligent HVAC Load Management With Deep Reinforcement Learning: Real-World Experience of Machine Learning in Demand Control
Author:
Affiliation:
1. University of Tennessee, Knoxville, Tennessee, USA
2. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/8014/9761107/09761161.pdf?arnumber=9761161
Reference5 articles.
1. Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
2. Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
3. Evaluating the Adaptability of Reinforcement Learning Based HVAC Control for Residential Houses
4. Continuous control with deep reinforcement learning;lillicrap,2015
5. Human-level control through deep reinforcement learning
Cited by 7 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. Reinforcement Learning Based Autonomous Vehicles Lateral Control;2023 IEEE International Conference on Networking, Sensing and Control (ICNSC);2023-10-25
2. Kube-Volttron: Rearchitecting the VOLTTRON Building Energy Management System for Cloud Native Deployment;Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3;2023
3. Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
4. Minimizing Energy Loss Decisions for Green Driving Platoon;2022 32nd International Telecommunication Networks and Applications Conference (ITNAC);2022-11-30
5. Systematic Review on Deep Reinforcement Learning-Based Energy Management for Different Building Types;Energies;2022-11-18
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