Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine
Abstract As a phenomenon of illegal occupation of power resources, power stealing has seriously damaged the fairness and normal order of the power market. In sensitive areas, that is, areas with large electricity consumption, complex lines and frequent power stealing, the detection rate of power ste...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06834-4 |
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