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Australian Journal of Electrical and Electronics Engineering Volume 19, 2022 - Issue 4
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Research Article

A failure prediction method of power distribution network based on PSO and XGBoost

Jian FangChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaView further author information
,
Hongbin WangChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaView further author information
,
Fan YangChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaCorrespondence[email protected]
View further author information
,
Kuang YinChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaView further author information
,
Xiang LinChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaView further author information
&
Min ZhangChina Southern Power Grid Company Limited of Key Laboratory of Middle-low Voltage Electric Equipment Inspection and Testing, Power Test Research Institute of Guangzhou Power Supply Bureau, Guangzhou, Guangdong, ChinaView further author information
Pages 371-378 | Received 18 Jan 2021, Accepted 25 Apr 2022, Published online: 17 May 2022

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