Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …

Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …

The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

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 …

The new power sector scenario has focused on integrating renewable energy sources into
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …

Due to the energy transition and the distribution of electricity generation, distribution power
systems gain a lot of attention as their importance increases and new challenges in …

Energy Poverty (EP) is a widespread problem in Europe. EP detection is hampered by a lack
of data and global metrics. Recently, innovative approaches using Artificial Intelligent (AI) …

For power plant networks in developing countries like Iraq, balancing electricity demand and
generation continues to be a major challenge. Energy management (EM) in either demand …

This paper presents a hybrid model, named as hybrid deep neural network, which combines
convolutional neural network, particle swarm optimization, and gated recurrent unit, termed …

There is a growing concern about the high degree of non-technical losses (NTL) in
developing countries especially sub-saharan Africa. Whereas several studies have …