The Development of an Electricity Theft Detection System

Electricity Theft Detection Techniques for Distribution System in GUVNL

Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents a new approach towards Distribution Power Loss analysis for electric utilities using a novel intelligencebased techniques like Extreme Learning Machine (ELM), OS-ELM & Supp...

Electricity Theft Detection using Machine Learning

Non-technical losses (NTL) in electric power grids arise through electricity theft, broken electric meters or billing errors. They can harm the power supplier as well as the whole economy of a country through losses of up to 40% of the total power distribution. For NTL detection, researchers use artificial intelligence to analyse data. This work is about improving the extraction of more meaning...

Electricity and Gas Theft

Entropy - based electricity theft detection in AMI network

Advanced metering infrastructure (AMI), one of the prime components of the smart grid, has many benefits like demand response and load management. Electricity theft, a key concern in AMI security since smart meters used in AMI are vulnerable to cyber attacks, causes millions of dollar in financial losses to utilities every year. In light of this problem, the authors propose an entropy-based ele...

A Methodology for the Design of an Electricity Theft Monitoring System

Utility companies in Ghana estimate that electricity theft costs them over a billion US dollars in annual revenues. The purpose of this work is to provide an algorithm for the design of electricity theft monitoring system which allows violators to be detected at a remote location. It begins with the analysis of losses in electrical power systems. The bulk of these losses are caused by electrici...