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

• 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

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...