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Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory

Hongsheng Xu Jinyu Wen Qinran Hu Jiao Shu Jixiang Lu Zhihong Yang

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(5)：1338-1351,14.

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(5)：1338-1351,14.DOI:10.17775/CSEEJPES.2021.04330

Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory

Hongsheng Xu ¹Jinyu Wen ²Qinran Hu ¹Jiao Shu ³Jixiang Lu ²Zhihong Yang²

作者信息

1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology,School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
2. NARI Group Corporation,Nanjing 211106,China
3. School of Electrical Engineering,Southeast University,Nanjing 210096,China
折叠

摘要

关键词

Deep reinforcement learning/electricity market/energy procurement/long short-term memory/retail pricing

Key words

Deep reinforcement learning/electricity market/energy procurement/long short-term memory/retail pricing

引用本文复制引用

Hongsheng Xu,Jinyu Wen,Qinran Hu,Jiao Shu,Jixiang Lu,Zhihong Yang..Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory[J].中国电机工程学会电力与能源系统学报（英文版）,2022,8(5):1338-1351,14.

基金项目

This work was supported in part by Natural Science Foundation of Jiangsu Province(BK20210002)and National Key R&D Program of China(2018AAA0101504). （BK20210002）

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

ISSN：2096-0042

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