Abstract
Non-technical losses have been reported as one of the most serious problems faced by Electric Utilities. This study provides an overview of most recent methods for electricity fraud detection, based on concepts from data mining, state estimation, game theory and so on. Furthermore, metrics for evaluating such above methods will be discussed and evaluated. It also provides a comparative overview of the main regulatory aspects of frauds based on questionnaire circulated among ten EE countries. Results are discussed and evaluated.
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