Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids

Non-technical losses (NTL) pose a significant challenge for power companies, necessitating effective detection to minimize financial losses and improve energy system operations. Despite various proposed methods, effectively classifying normal and abnormal consumption patterns remains challenging. Wh...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-09-01
coleção:	International Journal of Electrical Power & Energy Systems
Assuntos:	Computer vision Convolution neural network Deep learning Non-technical loss detection Smart grids
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S0142061525004557
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!