Electricity theft detection in smart grid using machine learning

Electricity theft detection in smart grid using machine learning

Nowadays, electricity theft is a major issue in many countries and poses a significant financial loss for global power utilities. Conventional Electricity Theft Detection (ETD) models face challenges such as the curse of dimensionality and highly imbalanced electricity consumption data distribution....

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Bibliographic Details
Main Authors: Hasnain Iftikhar, Nitasha Khan, Muhammad Amir Raza, Ghulam Abbas, Murad Khan, Mouloud Aoudia, Ezzeddine Touti, Ahmed Emara
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Energy Research
Subjects:
electricity theft detection
anomaly detection
smart grid
machine learning
economic development
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1383090/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1383090/full

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