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Data-driven Decision-making Strategies for Electricity Retailers:A Deep Reinforcement Learning Approach

Yuankun Liu Dongxia Zhang Hoay Beng Gooi

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：358-367,10.

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：358-367,10.DOI:10.17775/CSEEJPES.2019.02510

Data-driven Decision-making Strategies for Electricity Retailers:A Deep Reinforcement Learning Approach

Yuankun Liu ¹Dongxia Zhang ²Hoay Beng Gooi³

作者信息

1. Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
2. China Electric Power Research Institute,Beijing 100192,China
3. Nanyang Technological University,Nanyang Avenue,Singapore 639798,Singapore
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摘要

关键词

Artificial intelligence/electricity market/demand response/smart grid

Key words

Artificial intelligence/electricity market/demand response/smart grid

引用本文复制引用

Yuankun Liu,Dongxia Zhang,Hoay Beng Gooi..Data-driven Decision-making Strategies for Electricity Retailers:A Deep Reinforcement Learning Approach[J].中国电机工程学会电力与能源系统学报（英文版）,2021,7(2):358-367,10.

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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