Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data

Transferencia Tecnológica. Esta publicación surge en el marco del convenio firmado entre la Facultad de Ingeniería y la Administración Nacional de Usinas y Trasmisiones Eléctricas (UTE). Proyecto DAICE: Detector Automático de Irregularidades en Consumos Electricos. La UTE en el Ciclo 2023, obtuvo co...

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Bibliographic Details

Main Author:	Massaferro Saquieres, Pablo (author)
Other Authors:	Di Martino, Matías (author), Fernández, Alicia (author)
Format:	article
Language:	English
Published:	2022
Subjects:	Feature extraction Smart meters Companie Inspection Energy consumption Deep learning Meters Non-technical losses Electricity theft Automatic fraud detection Multi-resolution
Online Access:	https://ieeexplore.ieee.org/document/9702531 https://hdl.handle.net/20.500.12008/34465
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