The parameter identification problem of photovoltaic (PV) models is classified as a complex
nonlinear optimization problem that cannot be accurately solved by traditional techniques …

Abstract Chaos Game Optimization Algorithm (CGO) is a novel advancement in
metaheuristic optimization inspired by chaos theory. It addresses complex optimization …

The pressing need for sustainable energy solutions has driven significant research in
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …

The growing demand for solar energy conversion underscores the need for precise
parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing …

This study addresses the challenges in accurately estimating photovoltaic (PV) parameters
for solar energy applications by enhancing parameter extraction processes to improve the …

Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks
when assessing the accurate performance of the PV system in power systems. The …

This study focuses on the critical task of accurately simulating and operating solar cells and
photovoltaic modules by acquiring essential model parameters through experimental data …

To better estimate the unknown parameters of the double-diode model, a new optimization
technique based on the newly proposed spider wasp optimizer (SWO) is introduced in this …

The carnivorous plant algorithm (CPA), which was recently proposed for solving optimization
problems, is a population-based optimization algorithm inspired by plants. In this study, the …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …