Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV)
offers many advantages like modularity, minimal maintenance, pollution free, and zero …

With the help of accurate solar photovoltaic (PV) cell modeling, the PV system's performance
can be enhanced. However, PV cell modeling is erroneously caused by inaccurate solar cell …

Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …

The modeling of solar cells and the precise identification of their equivalent model
parameters have become one of the most extensively discussed subjects in recent …

The parameter extraction of PV models is a nonlinear and multi-model optimization problem.
However, it is essential to correctly estimate the parameters of the PV units due to their …

Parameters for defining photovoltaic models using measured voltage–current​
characteristics are essential for simulation, control, and evaluation of photovoltaic-based …

The performance of a PhotoVoltaic (PV) system could be inferred from the features of its
current–voltage relationships, but the PV model parameters are uncertain. Because of its …

Abstract After avoiding the Standard Test Condition (STC) related to the manufacturer of PV
cells, accurate solar system modeling is considered the most important task to study this …

When discussing the commercial applications of photovoltaic (PV) systems, one of the most
critical problems is to estimate the efficiency of a PV system because current (I)–voltage (V) …