Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms

Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms

Accurate solar cell modeling is essential for reliable performance evaluation and prediction, real-time control, and maximum power harvest of photovoltaic (PV) systems. Nevertheless, such a model cannot always achieve satisfactory performance based on conventional optimization strategies caused by i...

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Bibliographic Details
Main Authors: Long Wang, Zhuo Chen, Yinyuan Guo, Weidong Hu, Xucheng Chang, Peng Wu, Cong Han, Jianwei Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Energy Research
Subjects:
parameter estimation
solar cell
genetic neural network
data prediction
meta-heuristic algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.696204/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.696204/full

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