Minghao Chen, Yi Sun, Zhiyuan Xie, Nvgui Lin, Peng Wu
{"title":"An efficient and privacy-preserving algorithm for multiple energy hubs scheduling with federated and matching deep reinforcement learning","authors":"Minghao Chen, Yi Sun, Zhiyuan Xie, Nvgui Lin, Peng Wu","doi":"10.1016/j.energy.2023.128641","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":11647,"journal":{"name":"Energy","volume":"1 1","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.energy.2023.128641","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
期刊介绍：
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
