GIS-Based Electricity Fraud Detection System Using IoT

Adequate electricity is amain challenge in low-income (developing) countries. Reducing technical and non-technical losses of electricity is, thus, important. This research aims at detecting the non-technical losses that are caused by electricity users who bypass the electricity meter and get electricity for free (theft), thus, lowering the financial income of the electricity utility companies. Beyond the detection of this fraud, this work will help identify the defaulters and propose a new approach to apprehending these fraudulent customers by introducing a system that compares the input and the output currents. If there is a mismatch in these quantities, the system activates a counter to start reading the amount of electricity stolen, reports the duration of the theft, and communicates directly with the branch manager of the utility company. The address and location of the fraudster, as well as the historical data of electricity usage, will be displayed (kept) and stored in a cloud and allow only authorized leaders of the electric utility board to keep records of all the frauds, areas of fraud, and the routes to get at the areas where the frauds are committed by using geospatial data with real-time information form Internet of Things devices deployed on the household.