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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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2025-11-01
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| Edice: | Applied Sciences |
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| On-line přístup: | https://www.mdpi.com/2076-3417/15/22/12028 |
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