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 …

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 study implements two-stage stochastic programming in a smart home application to
reduce the electricity procurement cost of an ordinary household. In this concern, vehicle to …

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 …

In developing countries, the power production is properly less than the request of power or
load, and sustaining a system stability of power production is a trouble quietly. Sometimes …

In recent years, an increasing number of models and algorithms based on time series
prediction and machine learning have been applied to traffic flow prediction, with good …

This paper proposes a new method to distinguish power quality events based on the
Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM). We examine …

The seasonal nature of fruits and vegetables has an immense impact on the process of
seeking methods that allow extending the shelf life in this category of food. It is observed that …

In this study, a new method combined with two-dimensional Riesz Transform (RT) in feature
extraction stage and Multi-Objective Grey Wolf Optimizer (MOGWO) with k-Nearest Neighbor …

In this study, the effect of the algorithms used in the training of artificial neural networks on
the prediction performance of artificial neural networks has been extensively investigated. In …