Solar cells performance testing and modeling based on particle swarm algorithm

Existing solar cells performance testing and modeling algorithms possess several drawbacks such as high complexity, low measuring accuracies and poor robustness to the small change of operating condition. A new approach is proposed to solve these problems. Firstly, the method introduced a series of...

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Bibliographische Detailangaben

Hauptverfasser:	Jiang Cong, Xue Lingyun, Song Deyun, Wang Jian
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Chaotic search Data models parameter estimation and optimization Particle swarm optimization solar cells performance model
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