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PFL-DSSE:A Personalized Federated Learning Approach for Distribution System State Estimation

Huayi Wu Zhao Xu Jiaqi Ruan Xianzhuo Sun

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(5)：P.2265-2270,6.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(5)：P.2265-2270,6.DOI:10.17775/CSEEJPES.2023.08830

PFL-DSSE:A Personalized Federated Learning Approach for Distribution System State Estimation

Huayi Wu ¹Zhao Xu ²Jiaqi Ruan ³Xianzhuo Sun³

作者信息

1. Department of Electrical and Electronic Engineering,The Hong Kong Polytechnic University,Hong Kong SAR,China
2. Department of Electrical and Electronic Engineering,Shenzhen Research Institute,Research Institute of Smart Energy,The Hong Kong Polytechnic University,Hong Kong SAR,China.
3. Department of Electrical and Electronic Engineering,The Hong Kong Polytechnic University,Hong Kong SAR,China.
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摘要

关键词

Terms-Distribution system state estimation/personalized federated learning/privacy protection

分类

信息技术与安全科学

引用本文复制引用

Huayi Wu,Zhao Xu,Jiaqi Ruan,Xianzhuo Sun..PFL-DSSE:A Personalized Federated Learning Approach for Distribution System State Estimation[J].CSEE Journal of Power and Energy Systems,2024,10(5):P.2265-2270,6.

基金项目

supported by the National Natural Science Foundation of China under Grant 72331008,and PolyU research project 1-YXBL. （）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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