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Review of Learning-assisted Power System Optimization

Guangchun Ruan Haiwang Zhong Guanglun Zhang Yiliu He Xuan Wang Tianjiao Pu

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：221-231,11.

中国电机工程学会电力与能源系统学报（英文版）2021，Vol.7Issue(2)：221-231,11.DOI:10.17775/CSEEJPES.2020.03070

Review of Learning-assisted Power System Optimization

Guangchun Ruan ¹Haiwang Zhong ¹Guanglun Zhang ¹Yiliu He ¹Xuan Wang ¹Tianjiao Pu²

作者信息

1. State Key Lab of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
2. China Electric Power Research Institute,Beijing 100192,China
折叠

摘要

关键词

Artificial intelligence/data-driven/deep learning/machine learning/neural network/smart grid

Key words

Artificial intelligence/data-driven/deep learning/machine learning/neural network/smart grid

引用本文复制引用

Guangchun Ruan,Haiwang Zhong,Guanglun Zhang,Yiliu He,Xuan Wang,Tianjiao Pu..Review of Learning-assisted Power System Optimization[J].中国电机工程学会电力与能源系统学报（英文版）,2021,7(2):221-231,11.

基金项目

This work was supported in part by the National Key Research and Development Program of China(No.2020YFB0905900)and National Natural Science Foundation of China(No.51777102,No.U1766212). （No.2020YFB0905900）

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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