234 citations · 292 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey
Patrick Glauner, Jorge Augusto Meira, Petko Valtchev +2
Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineeri…
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…
Deep Learning For Smile Recognition
Patrick O. Glauner
Inspired by recent successes of deep learning in computer vision, we propose a novel application of deep convolutional neural networks to facial expression recognition, in particul…