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 …

Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …

Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

The global shift toward solar energy has resulted in the advancement of research into the
manufacture of high-performance solar cells. It is critical to accurately model and identify the …

The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …

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 …

Abstract Solar Photovoltaic systems (SPVSs) are becoming one of the most popular
renewable energy technology for generating significant share of electric power. With the …

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

Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. In this paper, an improved whale …