This paper presents a review of up-to-date Machine Learning (ML) techniques applied to
photovoltaic (PV) systems, with a special focus on deep learning. It examines the use of ML …

A new islanding detection method based on image classification with support vector
machine is proposed in this study. Histogram of oriented gradient features is extracted from …

Given the ever-increasing complexity of the electrical grid system, power quality events have
been surging in frequency with each passing day. Due to their potential to cause massive …

Due to the increased frequency of power quality events and complexity of modern electric
grids, there is a growing need to classify such events. In this paper, a novel approach to the …

The integration of distributed generators (DGs) with microgrids has seen substantial growth
due to their variable power management capabilities. DG sources, such as solar PV …

Resumen en español Este artículo presenta un review de técnicas avanzadas de machine
learning y deep learning (MDL) aplicadas a sistemas fotovoltaicos. Examina el uso de MDL …

The use of microgrid has becoming a significant way for delivering power ie connecting local
loads. This gives a backup scheme for availability of power throughout the day. For …