[HTML][HTML] Performance investigation of state-of-the-art metaheuristic techniques for parameter extraction of solar cells/module

A Sharma, A Sharma, M Averbukh, V Jately… - Scientific Reports, 2023 - nature.com
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 …

Parameter extraction of photovoltaic cells and modules by hybrid white shark optimizer and artificial rabbits optimization

İ Çetinbaş, B Tamyurek, M Demirtaş - Energy Conversion and Management, 2023 - Elsevier
This study presents the parameter extraction of photovoltaic (PV) cells and modules using a
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …

[HTML][HTML] Dandelion Optimizer algorithm-based method for accurate photovoltaic model parameter identification

A Elhammoudy, M Elyaqouti, DB Hmamou… - Energy Conversion and …, 2023 - Elsevier
The utilization of photovoltaic (PV) energy has experienced a significant surge in the last few
decades, resulting in a rise in research endeavours to comprehend its workings better. One …

[HTML][HTML] Parameter extraction of solar photovoltaic model based on nutcracker optimization algorithm

Z Duan, H Yu, Q Zhang, L Tian - Applied Sciences, 2023 - mdpi.com
In order to improve the accuracy and reliability of the photovoltaic (PV) model, this paper
explores a novel nature-inspired metaheuristic algorithm, ie, the nutcracker optimizer …

An adaptive differential evolution with opposition-learning based diversity enhancement

Z Song, C Ren, Z Meng - Expert Systems with Applications, 2024 - Elsevier
Differential Evolution (DE), as a powerful population-based stochastic optimization
algorithm, has attracted the attention of researchers from various fields due to its advantages …

A new modified version of mountain gazelle optimization for parameter extraction of photovoltaic models

D Izci, S Ekinci, M Altalhi, MS Daoud, H Migdady… - Electrical …, 2024 - Springer
This study addresses the challenges in accurately estimating photovoltaic (PV) parameters
for solar energy applications by enhancing parameter extraction processes to improve the …

[HTML][HTML] Hybrid sparrow search-exponential distribution optimization with differential evolution for parameter prediction of solar photovoltaic models

AA Abd El-Mageed, A Al-Hamadi, S Bakheet… - Algorithms, 2024 - mdpi.com
It is difficult to determine unknown solar cell and photovoltaic (PV) module parameters owing
to the nonlinearity of the characteristic current–voltage (IV) curve. Despite this, precise …

[HTML][HTML] Evaluation of the performance of polycrystalline and monocrystalline PV technologies in a hot and arid region: an experimental analysis

M Benghanem, S Haddad, A Alzahrani, A Mellit… - Sustainability, 2023 - mdpi.com
In arid regions, the behavior of solar panels changes significantly compared to the
datasheets provided by the manufacturer. Therefore, the objective of this study is to …

[HTML][HTML] An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

AA Abd El-Mageed, AA Abohany, AH Ali, KM Hosny - Journal of Big Data, 2024 - Springer
Online platforms and social networking have increased in the contemporary years. They are
now a major news source worldwide, leading to the online proliferation of Fake News (FNs) …

[HTML][HTML] Biogeography-based teaching learning-based optimization algorithm for identifying one-diode, two-diode and three-diode models of photovoltaic cell and …

N Rai, A Abbadi, F Hamidia, N Douifi, B Abdul Samad… - Mathematics, 2023 - mdpi.com
This article handles the challenging problem of identifying the unknown parameters of solar
cell three models on one hand and of photovoltaic module three models on the other hand …