The continuous growth in overall energy demand and the related environmental impacts
play a significant role in the large sustainable and green global energy transition. Moreover …

This paper aims to introduce deep learning to the power quality community by reviewing the
latest applications and discussing the open challenges of this technology. Publications …

The rising integration of offshore wind energy into the electric grid provides remarkable
opportunities in terms of environmental sustainability and cost efficiency. However, it poses …

Connecting different renewable energy sources (RESs) to the electrical grids is presently
being urged to fulfill the enormous need for electric power and to decrease traditional …

Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

As a result of the widespread use of power electronic equipment and the increase in
consumption, the importance of effective energy policies and the smart grid begins to …

Energy storage devices (ESDs) provide solutions for uninterrupted supply in remote areas,
autonomy in electric vehicles, and generation and demand flexibility in grid-connected …

With the widespread access of nonlinear loads, enterprises and consumers are faced with
the problem of power quality disturbance (PQD) in the grid. The detection and classification …

This paper offers a systematic literature review of real-time detection and classification of
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …

Advanced machine learning techniques have recently demonstrated outstanding
performance when applied to power quality disturbance (PQD) classification. Nevertheless …