Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …

Currently, solar energy is one of the leading renewable energy sources that help support
energy transition into decarbonized energy systems for a safer future. This work provides a …

Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …

Due to the global progress, the optimization problems are becoming more and more
complex. Hence, deterministic and heuristic approaches are no longer adequate for dealing …

In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …

The abundance of solar energy as one of the clean energy forms offers a great advantage
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …

The extraction of parameters of solar photovoltaic generating systems is a difficult problem
because of the complex nonlinear variables of current-voltage and power-voltage. In this …

Photovoltaic (PV) system as a vital element in the utilize of solar energy, its optimization,
control, and simulation are significant. The performance of the PV system is mainly …

In this paper, a novel multi-population parallel co-evolutionary differential evolution, named
MPPCEDE, is proposed to optimize parameters of photovoltaic (PV) models and enhance …

Given the photovoltaic (PV) model's multi-model and nonlinear properties, extracting its
parameters is a difficult problem to solve. Furthermore, because of the features of the …