Deep Reinforcement Learning-Based Self-Scheduling Strategy for a CAES-PV System Using Accurate Sky Images-Based Forecasting
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada
2. School of Engineering - Penn State Behrend, Erie, PA, USA
Funder
Canada First Research Excellence Fund
University of Alberta's Future Energy Systems
Alberta Innovates Graduate Student Scholarships for Data-enabled Innovation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10054351/09782559.pdf?arnumber=9782559
Reference34 articles.
1. Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model
2. Human-level control through deep reinforcement learning
3. Deep Learning Based Surface Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image
4. Deep Reinforcement Learning-Based Controller for SOC Management of Multi-Electrical Energy Storage System
5. Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
Cited by 17 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. Research on Energy Scheduling Optimization Strategy with Compressed Air Energy Storage;Sustainability;2024-09-13
2. Optimal Operation of Integrated Energy System Considering Carbon Emission: A Case Study with Deep Reinforcement Learning;2024 IEEE 2nd International Conference on Power Science and Technology (ICPST);2024-05-09
3. A structural depth network embedding stacking model based on Moran’s index and seasonal trend for short-term solar irradiance prediction;Energy Conversion and Management;2024-05
4. Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets;IEEE Transactions on Industrial Informatics;2024-05
5. Optimal configuration of photovoltaic/photothermal /AA-CAES capacity considering combined cooling, heating and power supply;2024-03-05
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