234 citations · 519 across the 33 of their papers we have counts for
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cs.LG2016★ 10 cited
Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets
Patrick Glauner, Jorge Meira, Lautaro Dolberg +4
Electricity theft is a major problem around the world in both developed and developing countries and may range up to 40% of the total electricity distributed. More generally, elect…
cs.LG2016
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets
Patrick O. Glauner, Andre Boechat, Lautaro Dolberg +4
Non-technical losses (NTL) such as electricity theft cause significant harm to our economies, as in some countries they may range up to 40% of the total electricity distributed. De…