The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …

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 …

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 …

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 …

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 …

High dimensionality of the feature space is one of the most important concerns in text
classification problems due to processing time and accuracy considerations. Selection of …

Power quality issues are required to be addressed properly in forthcoming era of smart
meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto …

Power quality (PQ) interest has increasingly evolved over the past decade. The paper
surveys the application of signal processing, intelligent techniques and optimization …

Power quality (PQ) issues have become more important than before due to increased use of
sensitive electrical loads. In this paper, a new hybrid algorithm is presented for PQ …

Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …