This paper presents an advanced variant of teaching learning based algorithm (TLBO)
called either-or teaching learning based algorithm (EOTLBO) to extract accurate and reliable …

Parameters extraction of photovoltaic (PV) models is urgently desired for the simulation,
control, and evaluation of PV systems. To accurately and reliably extract the parameters of …

This manuscript proposes a modern optimization framework for parameter extraction of a
triple‐diode model of the unknown solar cell and Photovoltaic (PV) module parameters. The …

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

In today's world of sustainability and environmentally friendly trends, renewable energy
technologies like solar cells play a vital role, making producing the optimal capacity a …

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 efficiency of solar cells in converting solar energy into electrical energy can be improved
by efficient and accurate solar photovoltaic cell modelling. However, the key to solar …

Photovoltaic (PV) modeling research is a growing area of interest. The accuracy of PV
models pertains to the efficient design and control of PV systems. Subsequently, several …

The novelty of this study is to present the combined operational strategy of wind-solar-
thermal (WST) system with pumped hydro storage (PHS) facility while mitigating the …

According to the manufacturer's IV data, we need to obtain the best parameters for
assessing the photovoltaic systems. Although much work has been done in this area, it is …