Parameters identification of photovoltaic solar cells and module using the genetic algorithm with convex combination crossover
Author:
Affiliation:
1. GEMS Laboratory, National School of Applied Sciences, ENSA, Agadir, Morocco
2. IRF-SIC Laboratory, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco
Publisher
Informa UK Limited
Subject
Building and Construction,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/01430750.2017.1421577
Reference28 articles.
1. Optimal extraction of solar cell parameters using pattern search
2. A new estimation approach for determining the I–V characteristics of solar cells
3. Parameter identification for solar cell models using harmony search-based algorithms
4. Artificial bee swarm optimization algorithm for parameters identification of solar cell models
5. Classifier systems and genetic algorithms
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