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Improved DBSCAN-Based Electricity Theft Detection Using Spatiotemporal Fusion Features

Electricity theft is a major source of non-technical losses in distribution networks, threatening both economic revenues and power supply reliability. This study addresses the identification of nodes exhibiting anomalous load behavior (anomalous nodes) in 10 kV distribution feeders. Based on the IEE...

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Principais autores: Jianlin Chen, Zhe Guan, Wei Bai, Jiayue Liu, Yanlong Zhao, Junyu Zhou, Lan Xiong
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Applied Sciences
Fag:
electricity theft
distribution network
spatiotemporal features
DBSCAN
Online adgang:https://www.mdpi.com/2076-3417/15/22/12028
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