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首页|期刊导航|CSEE Journal of Power and Energy Systems|Large Language Model Assisted Interpretability in Graph Convolution Network for AGC Dispatch

Large Language Model Assisted Interpretability in Graph Convolution Network for AGC Dispatch

Xiaoshun Zhang Kun Zhang Zhengxun Guo Penggen Wang

CSEE Journal of Power and Energy Systems2026,Vol.12Issue(2):P.632-643,12.
CSEE Journal of Power and Energy Systems2026,Vol.12Issue(2):P.632-643,12.DOI:10.17775/CSEEJPES.2025.02260

Large Language Model Assisted Interpretability in Graph Convolution Network for AGC Dispatch

Xiaoshun Zhang 1Kun Zhang 1Zhengxun Guo 1Penggen Wang1

作者信息

  • 1. Foshan Graduate School of Innovation,Northeastern University,Foshan 528311,China College of Information Science and Engineering,Northeastern University,Shenyang 110819,China
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摘要

关键词

AGC/dispatch/graph/convolution/network/interpretability/large/language/model

分类

信息技术与安全科学

引用本文复制引用

Xiaoshun Zhang,Kun Zhang,Zhengxun Guo,Penggen Wang..Large Language Model Assisted Interpretability in Graph Convolution Network for AGC Dispatch[J].CSEE Journal of Power and Energy Systems,2026,12(2):P.632-643,12.

基金项目

supported by the National Natural Science Foundation of China(No.52577087) (No.52577087)

the Guangdong Basic and Applied Basic Research Foundation(No.2024A1515030012)。 (No.2024A1515030012)

CSEE Journal of Power and Energy Systems

2096-0042

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