Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis
By Leonardo Sandrolini, Marcello Artioli, Ugo Reggiani. 2010
235 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b6fb454aa2b8d718c72250293f84b86568b22d98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Zhihua Cai
- Wenyin Gong
- Saad Mekhilef
- Lian Lian Jiang
- Douglas Leslie Maskell
- Jagdish Chandra Patra
- Amir Shamsudin
- Zainal Salam
In Renewable Energy, Sustainability and the Environment
- Zainal Salam
- Saad Mekhilef
- Zhihua Cai
- Wenyin Gong
- Kashif Ishaque
- Amir Shamsudin
- Lian Lian Jiang
- Douglas Leslie Maskell
Citations in the corpus
- Parameter extraction of solar photovoltaic modules using penalty-based differential evolution (2012, methodology): “The consistency and reliability of P-DE solutions avoid the requirement for a post-processing procedure to filter out the scattered parameter, such as the cluster analysis as reported in [34].”
- Parameter extraction of solar cell models using repaired adaptive differential evolution (2013, background): “For the single diode model, the extracted parameters and RMSE value of R cr -IJADE are compared with those of GA [26], CPSO [20], PS [7], SA [27], IGHS [28], and ABSO [1].”
- Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm (2013, methodology): “Generally, the parameter estimation methods can be categorized into analytical methods [11] and numerical methods [12–22].”
- A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm (2015, methodology): “In the present work, we have used PSO algorithm similar to one given by Sandrolini et al [22].”