Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third …

HM Ridha, H Hizam, S Mirjalili, ML Othman… - … and Sustainable Energy …, 2022 - Elsevier
Extraction of the photovoltaic (PV) model parameters is critical for forecasting these systems'
energy output. Numerous research have reviewed and presented approaches for figuring …

Photovoltaic Modeling: A Comprehensive Analysis of the I–V Characteristic Curve

TN Olayiwola, SH Hyun, SJ Choi - Sustainability, 2024 - mdpi.com
The I–V curve serves as an effective representation of the inherent nonlinear characteristics
describing typical photovoltaic (PV) panels, which are essential for achieving sustainable …

A novel theoretical and practical methodology for extracting the parameters of the single and double diode photovoltaic models

HM Ridha, H Hizam, S Mirjalili, ML Othman… - IEEE …, 2022 - ieeexplore.ieee.org
Solar Photovoltaic (PV) system is one of the most significant forms of renewable energy
resources, and it requires accuracy to assess, design, and extraction of its parameters …

On the problem formulation for parameter extraction of the photovoltaic model: Novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on …

HM Ridha, H Hizam, S Mirjalili, ML Othman… - Energy Conversion and …, 2022 - Elsevier
The estimation of the unknown parameters of the photovoltaic (PV) model is crucial for
accurately verifying its real performance precisely under a wide range of climatic conditions …

Superellipse model: An accurate and easy-to-fit empirical model for photovoltaic panels

TN Olayiwola, SJ Choi - Solar Energy, 2023 - Elsevier
The accurate representation of the photovoltaic (PV) characteristic curves especially at
maximum power point (MPP) are essential for the real-time performance evaluation of PV …

Zero root-mean-square error for single-and double-diode photovoltaic models parameter determination

HM Ridha, H Hizam, S Mirjalili, ML Othman… - Neural Computing and …, 2022 - Springer
The parameter determination based on experimental data aids in providing an accurate
assessment for predicting the output current of the PV cells. This may be extremely helpful …

Analysis of Higher-Order Bézier Curves for Approximation of the Static Magnetic Properties of NO Electrical Steels

E Rahmanović, M Petrun - Mathematics, 2024 - mdpi.com
Adequate mathematical description of magnetization curves is indispensable in
engineering. The accuracy of the description has a significant impact on the design of …

A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization

YJ Chen, H Huang - Engineering Applications of Computational …, 2024 - Taylor & Francis
Autonomous underwater helicopters (AUHs) are complex electromechanical systems
consisting of multiple interconnected sub-disciplines, posing a significant challenge for …

Bézier cubics and neural network agreement along a moderate geomagnetic storm

E Eroglu, ME Koksal - Discrete Dynamics in Nature and Society, 2024 - Wiley Online Library
The discussion models the IRI‐2012 TEC map over a moderate geomagnetic storm period
(5 days) in February 2015 and compares the yield of the models. The models are …

[HTML][HTML] Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment

F Wardi, M Louzazni, M Hanine, E Baghaz… - Energy Conversion and …, 2024 - Elsevier
Photovoltaic power has emerged as an important component global energy revolution,
providing a renewable and sustainable alternative for electricity generation. This paper …