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Detection of abnormalities and electricity theft using genetic support vector machines

Efficient methods for detecting electricity fraud has been an active research area in recent years. This paper presents a hybrid approach towards Non-Technical Loss (NTL) analysis for electric utilities using Genetic Algorithm (GA) and Support Vector Machine (SVM). The main motivation of this study...

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Bibliographic Details
Main Authors:	Nagi, J., Yap, K.S., Tiong, S.K., Ahmed, S.K., Mohammad, A.M.
Format:	Conference Paper
Language:	English
Published:	2017
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