The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …

Abstract The Artificial Gorilla Groups Optimizer (GTO) is a novel metaheuristic algorithm that
takes its cues from the collective intelligence of wild gorilla troops. Although it has shown …

This paper proposes an advanced intelligent application of Enhanced Artificial Gorilla
Troops (EAGT) optimizer for parameters extraction of three different PV modules. The …

Feature selection (FS) is commonly thought of as a pre-processing strategy for determining
the best subset of characteristics from a given collection of features. Here, a novel discrete …

This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-
Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid …

The worm gearbox is a power transmission system that has various applications in
industries. Being vital element of machinery, it becomes necessary to develop a robust fault …

Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …

The derivation of PV model parameters is crucial for the optimization, control, and simulation
of PV systems. Although many parameter extraction algorithms have been developed to …