Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

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 …

Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …

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 …

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 …

With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …

Robust fault estimation plays an important role in real-time monitoring, diagnosis, and fault-
tolerance control. Accordingly, this paper aims to develop an effective fault estimation …

Requirement of green supply with higher quality has been consumers' demand around the
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …

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 …

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 …