The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …

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 …

One of the most challenging areas of Future Smart Cities Research is the Smart Energy
domain. Critical issues related to optimization, provision of smart customizable networks and …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

The power sector is increasingly relying on variable renewable energy sources (VRE)
whose share in energy production is expected to further increase. A key challenge for …

Harmonics and waveform distortion is a significant power quality problem in modern power
systems with high penetration of Renewable Energy Sources (RES). This problem has …

Abstract Automatic classification of Power Quality Disturbances (PQDs) is a challenging
concern for both the utility and industry. In this paper, a novel technique of automatic …

This paper presents a variational mode decomposition (VMD) and decision tree based
detection and classification method of single and mixed power quality (PQ) disturbances in …

Abstract Offshore Wind Energy (OWE) can be considered the Renewable Energy Sources
(RESs) with a higher potential of newly installed power in marine areas more the following …

Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …