The proliferation of electric vehicles (EVs) hinges upon the availability of robust and efficient
charging infrastructure, notably encompassing swift and convenient solutions. Among these …

In this paper, a critical issue related to power management control in autonomous hybrid
systems is presented. Specifically, challenges in optimizing the performance of energy …

Due to infrastructure developments, wide disturbances have occurred in the power system.
There is a need for intelligent monitoring systems across wide power networks for the …

In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …

Power systems' efficient management and planning are crucial in renewable energy-based
systems. As the global electricity demand continues to rise, there is a growing need for …

As the grid coverage rises, foreign objects invade more and more frequently, causing grid
failures to rise every year. To address this issue, this paper proposes a deep learning-based …

Casting is the main backbone of the manufacturing industry in which liquefied metal is put
into the desired shape of mold for the reshaping of metal. Hence, casting defect analysis is …

Lack of proper maintenance of power line infrastructures is one of the main reasons behind
power shortages and major blackouts. Current inspection methods are human-dependent …

Insulator defect detection is essential to the reliable operation of overhead transmission
lines. However, current automatic algorithms struggle to extract critical features due to the …

The power transformer is an essential component of the electrical network that can be used
to step up and step down voltage. Dissolved gas analysis (DGA) is the most reliable method …