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Online Learning-based Optimal Bidding Approach for FTR Market Participants

Guibin Chen Ye Guo Wenjun Tang Qinglai Guo Hongbin Sun Wenqi Huang

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1501-1511,11.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(4)：1501-1511,11.DOI:10.17775/CSEEJPES.2021.05390

Online Learning-based Optimal Bidding Approach for FTR Market Participants

Guibin Chen ¹Ye Guo ¹Wenjun Tang ¹Qinglai Guo ²Hongbin Sun ²Wenqi Huang³

作者信息

1. Tsinghua-Berkeley Shenzhen Institute,Tsinghua University,Shenzhen,Guangdong,China
2. Q.L.Guo,H.B.Sun 2 Department of Electrical Engineering,Tsinghua University,Beijing,China
3. Digital Grid Research Institute,China Southern Power Grid,Guangzhou,China
折叠

摘要

关键词

Conditional value at risk/congestion/financial transmission rights/online learning

Key words

Conditional value at risk/congestion/financial transmission rights/online learning

引用本文复制引用

Guibin Chen,Ye Guo,Wenjun Tang,Qinglai Guo,Hongbin Sun,Wenqi Huang..Online Learning-based Optimal Bidding Approach for FTR Market Participants[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(4):1501-1511,11.

基金项目

This work was supported in part by the National Key R&D Program of China(2020YFB090600,2020YFB0906005). （2020YFB090600,2020YFB0906005）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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