Electricity theft has been a major issue for many years. Distribution System Operators
(DSOs) have been trying to detect electricity theft, however the phenomenon insists, while …

This paper is a review of literature with an analysis on a selection of scientific studies for
detection of non-technical losses. Non-technical losses occurring in the electric grid at level …

The theft of electricity affects power supply quality and safety of grid operation, and non-
technical losses (NTL) have become the major reason of unfair power supply and economic …

The utility providers are estimated to lose billions of dollars annually due to energy theft.
Although the implementation of smart grids offers technical and social advantages, the smart …

Abstract The utilisation of Artificial Intelligence (AI) applications in the energy sector is
gaining momentum, with increasingly intensive search for suitable, high-quality and …

Electricity theft and fraud in energy consumption are two of the major issues for power
distribution companies (PDCs) for many years. PDCs around the world are trying different …

The reduction of non-technical losses is a significant part of the total potential benefits
resulting from implementations of the smart grid concept. This paper proposes a data-based …

The detection of non-technical losses (NTL) is a very important economic issue for power
utilities. Diverse machine learning strategies have been proposed to support electric power …

The smart meters installed at the customer premises are one of the main apparatuses
promoting the modernization of the distribution systems. These devices collect a huge …

Identifying vulnerable regions to non-technical losses allows more assertive combat against
them. In this context, this paper presents a spatiotemporal methodology composed of two …