Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

Among an electricity provider’s non-technical losses, electricity theft has the most severe and dangerous effects. Fraudulent electricity consumption decreases the supply quality, increases generation load, causes legitimate consumers to pay excessive electricity bills, and affects the ove...

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Bibliographic Details
Main Authors:	Md. Nazmul Hasan, Rafia Nishat Toma, Abdullah-Al Nahid, M M Manjurul Islam, Jong-Myon Kim
Format:	Article
Language:	English
Published:	MDPI AG 2019-08-01
Series:	Energies
Subjects:	smart grid electricity energy non-technical loss data analysis machine learning convolutional neural network (CNN) long short-term memory (LSTM)
Online Access:	https://www.mdpi.com/1996-1073/12/17/3310

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