An Efficient IoT Based Electricity Theft Detecting Framework For Electricity Consumption

Abstract

The framework is designed for the electricity power trading companies for detecting any electricity theft by unauthorized means. The framework is based on the (Internet of Things) IoT techniques. The Data for all consumers tagged to specific geographical area is required to be analyzed by the framework. The framework in first part is analyzing the data of the past consumption of the specific area, this area may be Distribution Transformer level or Feeder Level or any portion of the electricity supply which is suspected of such electricity theft. In the second part, the IoT devices are added to the metering units of the specific sources. From this source, all the electricity supplied to the specific region will be accumulated on real-time basis. Rest IoT devices will be added to different parts of the Electricity Supply Line. Based on the analysis of real-time data accumulated via these IoT devices through Global System for Mobile (GSM) technology at the server located at either Data Center or Cloud Storage as the case may be. The framework will pinpoint the specific area where the theft of electricity is affected. Another vigilance IoT device is used to capture the images of the scenes for monitoring the naked wire for prevention from the electricity theft. The Real-Time reporting of this devices is generating alert to the power distribution company representatives to take necessary steps to reduce the losses occurred due to energy theft. The advanced infrastructure, now a days, is more prone to electricity theft, the Advanced Metering Infrastructure (AMI), is fully machine to machine (M2M) functioning, if such system is compromised, the theft may occur, to stop such electricity theft, since last two decades, various researchers are proposing their expert algorithms to minimize the same. The current paper proposes the additions in the existing literature of electricity theft detection and prevention.