Detection of Non-Technical Losses in Irrigant Consumers through Artificial Intelligence: A Pilot Study
Vanessa Gindri Vieira,
Daniel Pinheiro Bernardon,
Vinícius André Uberti
et al.
Abstract:Non-technical losses (NTLs) verified in the power distribution grids cause great financial losses to power utilities. In rural distribution grids, fraudulent consumers contribute to technical problems. The Southern region in Brazil contains more than 70% of the total rice production and power irrigation systems. These systems operate seasonally in distribution grids with high NTL conditions. This work aimed to present an artificial intelligence-based system to help power distribution companies detect potential… Show more
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