Artificial intelligence for energy fraud detection: a review

Energy fraud in the distribution sector of electric utility includes electricity theft, meter tampering, or billing error. This causing non-technical loss has led to an economic company. In order detect and minimize fraud, different technologies have been used. From conventional methods development field artificial intelligence (AI), effective reliable detection proposed. paper first provides overview proposed for evaluate advantage limitation using those methods. Furthermore, several supervised unsupervised machine learning detecting theft are discussed summary along with their metrics attributes Finally, these classified based on overall operation parameters comparisons AI weak strong points this information is very useful researchers who working method fraud.