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Author

D. F. Manotas-Duque

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Open access Sep 2026

Comparing Machine and Deep Learning for Electricity Theft Detection from Monthly Billing Data in an Emerging Energy Market

This study addresses a regime-conditioned question in electricity theft detection: when only monthly billing series and inspection-confirmed labels are available, which supervised model families recover irregular consumption without relying on the temporal resolution of advanced metering infrastructure (AMI)? The worki...

O. W. Orozco-Cerón, Orlando Joaqui-Barandica, D. F. Manotas-Duque · 0 citations

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