Model-based deep reinforcement learning for wind energy bidding
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference47 articles.
1. Short-term electricity demand forecasting using a functional state space model;Nagbe;Energies,2018
2. Forecasting next-day electricity demand and prices based on functional models;Lisi;Energy Syst,2020
3. Short-term electricity demand forecasting using components estimation technique;Shah;Energies,2019
4. Electricity price forecasting: A review of the state-of-the-art with a look into the future;Weron;Int J Forecast,2014
5. Forecasting Nord Pool day-ahead prices with an autoregressive model;Kristiansen;Energy Policy,2012
Cited by 21 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. A novel multi-step ahead solar power prediction scheme by deep learning on transformer structure;Renewable Energy;2024-09
2. A two-tier bidding model considering a multi-stage offer‑carbon joint incentive clearing mechanism for coupled electricity and carbon markets;Applied Energy;2024-08
3. Day-ahead Strategic Bidding of Renewable Energy Considering Output Uncertainty Based on Deep Reinforcement Learning;2024 6th Asia Energy and Electrical Engineering Symposium (AEEES);2024-03-28
4. Wind Power Bidding Based on an Ensemble Differential Evolution Algorithm with a Problem-Specific Constraint-Handling Technique;Energies;2024-01-12
5. Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey;IEEE Communications Surveys & Tutorials;2024
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