Comments: Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel-Tree boosting classifier-A novel sequentially executed supervised machine learning approach

Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel-Tree boosting classifier-A novel sequentially executed supervised machine learning approach

This paper presents a novel, sequentially executed supervised machine learning-based electric theft detection framework using a Jaya-optimized combined Kernel and Tree Boosting (KTBoost) classifier. It utilizes the intelligence of the XGBoost algorithm to estimate the missing values in the acquired...

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Bibliographic Details
Main Authors:	Hussain, Saddam, Mustafa, Mohd. Wazir, Al-Shqeerat, Khalil Hamdi Ateyeh, Al-rimy, Bander Ali Saleh, Saeed, Faisal
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/104448/1/MohdWazirMustafa2022_ElectricTheftDetectionInAdvancedMetering.pdf http://eprints.utm.my/104448/ http://dx.doi.org/10.1049/gtd2.12386
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Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel-Tree boosting classifier-A novel sequentially executed supervised machine learning approach

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