Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …

In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …

Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …

Aim Emotion recognition based on facial expression is an important field in affective
computing. Current emotion recognition systems may suffer from two shortcomings …

In the recent past, the solar photovoltaic (PV) system has emerged as the most promising
source of alternative energy. This solar PV system suffers from an unavoidable phenomenon …