Enhanced Whale optimization algorithms for parameter identification of solar photovoltaic cell models: a comparative study
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guizhou Province
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-67600-x.pdf
Reference61 articles.
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2. Chen, H., Jiao, S., Wang, M., Heidari, A. A. & Zhao, X. Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts. J. Clean. Prod. 244, 118778. https://doi.org/10.1016/j.jclepro.2019.118778 (2020).
3. Xiong, G. et al. Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models. J. Energy Convers. Manag. 206, 11450. https://doi.org/10.1016/j.enconman.2019.112450 (2020).
4. Liu, Y. et al. Boosting slime mould algorithm for parameter identification of photovoltaic models. J. Energy. 234, 121164. https://doi.org/10.1016/j.energy.2021.121164 (2021).
5. Xiong, G., Zhang, J., Yuan, X., Shi, D. & He, Y. Application of symbiotic organisms search algorithm for parameter extraction of solar cell models. J. Appl. Sci. 8, 2155. https://doi.org/10.3390/app8112155 (2018).
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