A comprehensive review on the methods used for fault detection, classification and location
in transmission lines and distribution systems is presented in this study. Though the three …

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 …

Signal processing can be found in many applications and its primary goal is to provide
underlying information on specific problems for the purpose of decision making. Traditional …

The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …

With an elevating demand and use of power electronics equipment, green energy and the
development of smart grids, power quality disturbance detection and classification holds …

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 …

The accurate detection and classification of power quality (PQ) disturbances in power
systems is a key step to determine the causes of these events before any proper …

Quantum computing (QC) and deep learning have shown promise of supporting
transformative advances and have recently gained popularity in a wide range of areas. This …

This paper deals with a modified technique for the recognition of single stage and multiple
power quality (PQ) disturbances. An algorithm based on Stockwell's transform and artificial …

This paper presents an S-Transform based probabilistic neural network (PNN) classifier for
recognition of power quality (PQ) disturbances. The proposed method requires less number …