Author:
Albiero Beatriz,Santos Ricardo,Uyrá Estevo,Vilarino Ramon,Silva Juliano,Souza Tales,Vicente Renato,Yamouni Sami
Abstract
Energy fraud is a critical economical burden for electric power orga-nizations in Brazil. In this paper we present the application of novel MachineLearning algorithms to boost efficiency in detection of energy frauds. More-over, we also propose a generalized and unsupervised model for fraud detectionbased on consumption anomalies.
Publisher
Sociedade Brasileira de Computação - SBC
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine Learning based Smart Electricity Monitoring & Fault Detection for Smart City 4.0 Ecosystem;Advances in Computing Communications and Informatics;2023-09-25
2. Trimming outliers using trees;Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2022-11-09