In developing countries, smart grids are nonexistent, and electricity theft significantly
hampers power supply. This research introduces a lightweight deep-learning model using …

Despite being equipped with advanced metering infrastructure (AMI), utility companies are
subjected to electricity theft cyber-attacks. The existing machine learning-based detectors do …

The smart grid integrates Information and Communication Technologies (ICT) into the
traditional power grid to manage the generation, distribution, and consumption of electrical …

In energy sectors, power utilities face financial losses due to Electricity Theft (ET). It happens
when electricity is consumed without billing. Several methods are developed to detect ET …

As an important edge device of power grid, smart meters enable the detection of illegal
behaviors such as electricity theft by analyzing large-scale electricity consumption data …

Electricity theft (ET), which endangers public safety, interferes with the regular operation of
grid infrastructure, and increases revenue losses, is a significant issue for power companies …

Electricity theft is a prevalent global issue that has detrimental effects on both utility providers
and electricity consumers. This phenomenon undermines the economic stability of utility …

In smart grids, electricity theft is the most significant challenge. It cannot be identified easily
since existing methods are dependent on specific devices. Also, the methods lack in …

Metering data from the advanced metering infrastructure can be used to find abnormal
electricity behavior for the detection of electricity theft, which causes huge financial losses to …

Electricity theft has significant impact on the power grids in terms of generating non-technical
losses, which eventually degrading the power quality and minimizing the outfitted profit. In …