Machine Learning-Based Detection of Non-Technical Losses in Power Distribution Networks

Machine Learning-Based Detection of Non-Technical Losses in Power Distribution Networks

This study focuses on the serious sustainability and reliability problem caused by non-technical losses (NTL) due to energy theft in electrical grid systems. In order to reduce these losses, we propose an artificial intelligence-based approach that utilizes deep learning architectures in the detecti...

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Bibliographic Details
Main Authors: Mahmut Türk, Heybet Kılıç, Cem Haydaroglu
Format: Article
Language:English
Published: Firat University 2025-02-01
Series:Firat University Journal of Experimental and Computational Engineering
Subjects:
teknik olmayan kayıplar (tok)
kaçak elektrik tespiti
derin öğrenme
konvolüsyonel sinir ağı (cnn)
akıllı şebeke
non-technical losses (ntl)
electricity theft detection
deep learning
convolutional neural network(cnn)
smartgrid
Online Access:https://dergipark.org.tr/tr/download/article-file/4220967

Internet

https://dergipark.org.tr/tr/download/article-file/4220967

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