Electricity Theft Detection Using Machine Learning

Abstract

The principal source of electrical power loss that has a substantial impact on both the quantity and quality of electrical power is electricity theft. However, the approaches currently in use for detecting this theft-related criminal activity are varied and complex since it is difficult to extract useful information from time-series data due to the uneven nature of the dataset. As energy is so important nowadays, we want to use energy sources wisely, especially when it comes to electricity. In India, power theft has grown to be a serious issue. The generating, transmission, and distribution components make up the power system. Only on the transmission and distribution side is there power theft. Many strategies have been put out to lessen electricity theft. Direct connection to a distribution line, however, is more challenging to investigate. We suggest utilising several machine learning methods to detect electricity theft.