Revolutionizing electricity theft detection: enhanced accuracy through NILM and multi-source data fusion
Abstract Electricity theft detection seeks to thwart the illegal use of electricity, thereby safeguarding the safety and stability of the power system. Traditional methods, which typically rely on aggregated household consumption data to identify theft, often overlook the fact that household consump...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2026-06-01
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| Serie: | Cybersecurity |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s42400-026-00605-3 |
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