The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …

Parameters estimation of photovoltaic (PV) model based on experimental data plays an
important role in the simulation, evaluation, control, and optimization of PV systems. In the …

Accurate estimation of model parameters plays a very important role in modeling solar
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …

Metaheuristic algorithms have been successfully used to parameter identification of
photovoltaic systems. However, this still faces the following two challenges. Firstly, most of …

In order to improve the performance of solar energy systems, accurate modeling of current
vs. voltage (I–V) characteristics of solar cells has attracted the attention of various …

Extracting accurate values for relevant unknown parameters of solar cell models is vital and
necessary for performance analysis of a photovoltaic (PV) system. This paper presents an …

One of the greatest challenges for widespread utilization of solar energy is the low
conversion efficiency, motivating the needs of developing more innovative approaches to …

As the demand for solar energy increases dramatically, the optimization and control of
photovoltaic systems become increasingly important, accurate and reliable parameter …

In this paper, a recent optimization algorithm called Equilibrium Optimizer (EO) is first
improved using a linear reduction diversity technique (LRD) and local minima elimination …

Identifying photovoltaic (PV) parameters accurately and reliably can be conducive to the
effective use of solar energy. The grey wolf optimizer (GWO) that was proposed recently is …