The aim of the study is to eliminate the electricity loss of individual customers and to
overcome the economic crisis. A novel Linear Support Vector Machine (SVM) algorithm is …

The motive of the study is to reduce electricity loss of individual customers which is
happening through power thefting by another customer and improve the accuracy of power …

Electricity theft is a serious issue that many nations face, especially in developing areas
where non-technical losses can make up a significant percentage of the overall losses …

Electricity theft is one of the biggest problems for smart grids. As a result of the reliance of
current procedures on certain equipment, it cannot be easily detected. Additionally, the …

The aim of the study is to diminish the power loss with reference to sensitivity and precision
in power transmissions and consumptions. As power theft is considered as non-technical …

Electricity distribution authorities loose a large chunk of income, due to illegal connections or
dishonesty of customers for their personal gains. Various systems are introduced by …

This research work dealt with the indiscriminate theft of electric power, reported as a non-
technical loss, affecting electric distribution companies and customers, triggering serious …

Purpose This paper aims to propose a machine learning approach-based power theft
detection using Garra Rufa Fish (GRF) optimization. Here, the analyzing of power theft is an …

Among the various reason behind Non-technical losses in smart grid, losses due to
electricity theft have become major apprehension in power system industries. A significant …

This paper presents a detection method of electricity theft based on SOM neural network and
K-means clustering algorithm. This method combines the advantages of SOM neural …