The Usage of Machine Learning Techniques to Identify Frauds on Energy Distribution

EasyChair Preprint no. 11027

Abstract

This article presents a proposal for a tool to combat non-technical losses in electricity distribution systems, based on Machine Learning techniques and consumer data from a Brazilian energy distributor. An exploratory analysis of the data was carried out to identify the variables to be used in training the models, with the purpose of selecting facilities to be inspected on site. The model with the best theoretical result was used on site tests.

Keyphrases: Análise de Dados, Aprendizado de Máquina, Distribuição de energia, Perdas não Técnicas

@Booklet{EasyChair:11027,
  author = {Thiago de Almeida Ribeiro and Luciana Martinez},
  title = {The Usage of Machine Learning Techniques to Identify Frauds on Energy Distribution},
  howpublished = {EasyChair Preprint no. 11027},

  year = {EasyChair, 2023}}