A method for detecting high-risk electricity theft in low-voltage distribution network stations based on density clustering of IoT sensing data
Abstract In response to the increasingly concealed and sophisticated methods of electricity theft, which are difficult to comprehensively cover and detect in a timely manner, a method for identifying high-risk electricity theft behaviors in low-voltage distribution station areas based on density-bas...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2025-10-01
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| coleção: | Energy Informatics |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s42162-025-00591-9 |
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