A novel unsupervised feature‐based approach for electricity theft detection using robust PCA and outlier removal clustering algorithm

• Main Authors: Hussain, Saddam, Mustafa, Mohd. Wazir, Ahmed Jumani, Touqeer, Baloch, Shadi Khan, Saeed, Muhammad Salman
• Format: Article
• Published: John Wiley and Sons Ltd 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/90489/; http://dx.doi.org/10.1002/2050-7038.12572

This paper presents a novel data-oriented unsupervised machine learning-based theft detection approach for efficiently identifying the fraudster consumers. It accomplishes the above-mentioned objective by exploiting the intelligence of the robust principal component analysis (ROBPCA) algorithm in co...