Detection of Commercial losses by Smart Meter...

Detection of Commercial losses by Smart Metering using AI Techniques

Author Name : Vishal Gohil, Girish Jadhav, Deepa Karvat

ABSTRACT

Commercial losses of electric energy are mainly caused by electricity theft, causing problems to power utilities, reducing revenue, increasing the energy costs to other consumers, and more. The algorithms of machine learning have been applied to detect electricity consumption anomalies. In this paper, the authors conduce a comparative study between several machine learning techniques in order to select which machine learning technique obtain the better results for the simulations related to the electricity theft detection problem. In this paper, the authors utilized the four machine learning methods Linear Regression (LR), Decision Tree (DT), Random Forest (RF), and K-nearest neighbor (KNN).The metrics utilized for the comparison were training accuracy and testing accuracy, more suitable for this kind of problem. The results show that which algorithm gives best result among all of them.

Keywords: Electricity theft, Commercial losses, Machine learning.