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...

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Bibliographic Details

Published in:	International Journal of Electrical Power & Energy Systems
Main Authors:	Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Computer vision Convolution neural network Deep learning Non-technical loss detection Smart grids
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061525004557