A critical review on the estimation techniques of the solar PV cell's unknown parameters
To meet the exponentially growing demand for clean and green energy, the solar
photovoltaic (PV) system's importance is increasing day by day, for which PV modeling is …
photovoltaic (PV) system's importance is increasing day by day, for which PV modeling is …
The Impact of Dust Deposition on PV Panels' Efficiency and Mitigation Solutions
M Nezamisavojbolaghi, E Davodian, A Bouich… - Energies, 2023 - mdpi.com
Conversion efficiency, power production, and cost of PV panels' energy are remarkably
impacted by external factors including temperature, wind, humidity, dust aggregation, and …
impacted by external factors including temperature, wind, humidity, dust aggregation, and …
[HTML][HTML] Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques …
M Abdel-Basset, R Mohamed, IM Hezam… - Expert Systems with …, 2024 - Elsevier
Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …
measured voltage-current data is a challenging optimization problem due to its high …
Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm
N Kullampalayam Murugaiyan, K Chandrasekaran… - Scientific Reports, 2024 - nature.com
Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter
extraction presents a challenging problem. This challenge is exacerbated by the propensity …
extraction presents a challenging problem. This challenge is exacerbated by the propensity …
[HTML][HTML] Parameter extraction for photovoltaic models with tree seed algorithm
A Beşkirli, İ Dağ - Energy Reports, 2023 - Elsevier
Abstract Evaluation, simulation and optimization of PV systems is very important for fast and
accurate parameter extraction based on current–voltage and power–voltage characteristic …
accurate parameter extraction based on current–voltage and power–voltage characteristic …
Sub-population improved grey wolf optimizer with Gaussian mutation and Lévy flight for parameters identification of photovoltaic models
X Yu, Y Duan, Z Cai - Expert Systems with Applications, 2023 - Elsevier
Accurate modeling of photovoltaic (PV) modules is key to design, simulate and control
photovoltaic power systems. Due to insufficient data in the photovoltaic cell data sheets, PV …
photovoltaic power systems. Due to insufficient data in the photovoltaic cell data sheets, PV …
Parameters estimation of three-diode photovoltaic model using fractional-order Harris Hawks optimization algorithm
Z Garip - Optik, 2023 - Elsevier
Effective and efficient systems that calculate the parameters of PV models to be optimal have
attracted great interest from many researchers. In this study, a novel algorithm approach is …
attracted great interest from many researchers. In this study, a novel algorithm approach is …
Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization
Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological
optimization mechanisms and has achieved great results in various complex stochastic …
optimization mechanisms and has achieved great results in various complex stochastic …
A new hybrid multi-population GTO-BWO approach for parameter estimation of photovoltaic cells and modules
Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks
when assessing the accurate performance of the PV system in power systems. The …
when assessing the accurate performance of the PV system in power systems. The …
Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution
Z Song, L Sun, N Matsveichuk, Y Sotskov… - Swarm and Evolutionary …, 2025 - Elsevier
Differential Evolution (DE) and its variants have been widely applied to numerical
optimization and engineering optimization problems owing to their simple operation …
optimization and engineering optimization problems owing to their simple operation …