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Malicious Synchrophasor Detection Based on Highly Imbalanced Historical Operational Data

Jingyu Wang Zhengwei Sun Bin Bao Dongyuan Shi

中国电机工程学会电力与能源系统学报（英文版）2019，Vol.5Issue(1)：11-20,10.

中国电机工程学会电力与能源系统学报（英文版）2019，Vol.5Issue(1)：11-20,10.DOI:10.17775/CSEEJPES.2018.00200

Malicious Synchrophasor Detection Based on Highly Imbalanced Historical Operational Data

Jingyu Wang ¹Zhengwei Sun ²Bin Bao ²Dongyuan Shi¹

作者信息

1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering,Huazhong University of Science and Technology, Wuhan 430074, China
2. Northeast Branch of State Grid Corporation of China, Shenyang 110180, China
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摘要

关键词

Data rebalancing/ensemble learning/malicious synchrophasor detection/XGBoost

Key words

Data rebalancing/ensemble learning/malicious synchrophasor detection/XGBoost

引用本文复制引用

Jingyu Wang,Zhengwei Sun,Bin Bao,Dongyuan Shi..Malicious Synchrophasor Detection Based on Highly Imbalanced Historical Operational Data[J].中国电机工程学会电力与能源系统学报（英文版）,2019,5(1):11-20,10.

基金项目

This work was supported in part by the National Natural Science Foundation of China (No.51777081). （No.51777081）

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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