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R. Mohamad Idris

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Review Open access Aug 2026

SUPERVISED MACHINE LEARNING FOR ELECTRICITY THEFT DETECTION: A SYSTEMATIC REVIEW OF TRENDS, CHALLENGES, AND FUTURE DIRECTIONS

Electricity theft causes substantial financial losses and grid instability, requiring data-driven detection solutions, especially through supervised machine learning (SML) techniques. This review systematically examines 50 studies (2012–2024) from Scopus, IEEE Xplore, and Web of Science, following PRISMA guidelines to...

Ateequr Rahaman Mohammed, R. Mohamad Idris · 0 citations

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