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Peer-to-peer Electricity Transaction Decisions of the User-side Smart Energy System Based on the SARSA Reinforcement Learning

Dan Wang Bo Liu Hongjie Jia Ziyang Zhang Jingcheng Chen Deyu Huang

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(3)：826-837,12.
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中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(3)：826-837,12.DOI:10.17775/CSEEJPES.2020.03290

Peer-to-peer Electricity Transaction Decisions of the User-side Smart Energy System Based on the SARSA Reinforcement Learning

Peer-to-peer Electricity Transaction Decisions of the User-side Smart Energy System Based on the SARSA Reinforcement Learning

Dan Wang 1Bo Liu 1Hongjie Jia 1Ziyang Zhang 2Jingcheng Chen 3Deyu Huang4

作者信息

  • 1. Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China
  • 2. Key Laboratory of Smart Energy&Information Technology of Tianjin Municipality,Tianjin 30072,China
  • 3. State Grid Jiangsu Power Co.Ltd.,Zhenjiang Power Supply Company,Zhenjiang 212000,Jiangsu Province,China
  • 4. State Grid Tianjin Electric Power Company,Hebei District,Tianjin 300010,China
  • 折叠

摘要

关键词

Peer-to-peer electricity transaction/reinforce-ment learning/smart energy system/SARSA algorithm

Key words

Peer-to-peer electricity transaction/reinforce-ment learning/smart energy system/SARSA algorithm

引用本文复制引用

Dan Wang,Bo Liu,Hongjie Jia,Ziyang Zhang,Jingcheng Chen,Deyu Huang..Peer-to-peer Electricity Transaction Decisions of the User-side Smart Energy System Based on the SARSA Reinforcement Learning[J].中国电机工程学会电力与能源系统学报（英文版）,2022,8(3):826-837,12.

基金项目

This work was supported by the National Key R&D Program of China(2018YFB0905000),the Science and Technology Project of SGCC(SGTJDK00DWJS1800232). （2018YFB0905000）

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

2096-0042

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