Utilization of Master and Smart Meter Readings for Pin Pointing Electricity Theft Using Correlation Analysis

The electricity becomes the economical backbone of any country. The energy theft becomes a major concern, since its directly affecting the countries economy. The power consumed by each customer is recorded continuously by the smart meters which are connected to the individual home. Also, the overall data is measured by a master meter. Most of the existing work focuses on the similar attack in all the houses and hence it can be considered as a linear attack. In this work, 3 different attacks have been considered, i.e. the consumer manipulate their readings in 3 different ways. Based on the data, the power theft could be identified and the particular non-honest consumer can be identified easily. In this work, spearman correlation is utilized for detecting the energy theft. Several experiments have been conducted for the real time dataset of various homes.