Review of “Detection and Prevention of Electrical Power Theft by Artificial Intelligence and Machine Learningâ€

The gradual rise in electricity theft is one of the foremost concerns for the electric power distribution system and the poor economic state of the short voltage consumer side. Power theft encloses faulty meters, electricity theft or billing errors. Moreover, this theft will affect the sincere customers, proficient power supply and increases the power generating station demand. In developing nations, theft detection and dealing with the public became very difficult for utility concerns. Also, it will affect the growth of the developing country. Therefore, the consumers develop metering knowledge with the diverse, novel, innovative developments for prohibited electricity theft. This paper discusses the power theft impact factors and detection methods using Artificial Intelligence (AI) and machine learning. Also, this work provides a literature review on the techniques utilised for power theft detection. Consequently, the performance metrics of these conventional techniques in power theft detection are investigated for configuration of further improvement in electricity theft recognition.