Electric theft detection using unsupervised machine learning-based matrix profile and K-means clustering technique

• Main Authors: Hussain, Saddam, Mustafa, Mohd. Wazir, James, Steve Ernest, Baloch, Shadi Khan
• Format: Book Section
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/100581/; http://dx.doi.org/10.1007/978-981-16-8484-5_2

Electric theft is the major issue faced by utility companies in different countries as it causes significant revenue losses and affects the power grid reliability. This paper presents a novel electric theft detection framework based on an unsupervised machine learning technique employing matrix prof...