期刊论文详细信息
Statistical Analysis and Data Mining
On the estimability of the PV single‐diode model parameters
Brian R. Zaharatos1  Luis Tenorio2  Mark Campanelli3 
[1] Department of Applied Mathematics University of Colorado 526 UCB Boulder CO 80309 USA;Department of Applied Mathematics and Statistics Colorado School of Mines 1500 Illinois Street Golden CO 80401 USA;National Renewable Energy Laboratory Golden CO USA
关键词: identifiability;    estimability;    data cloning;    single‐;    diode model;    photovoltaics;   
DOI  :  10.1002/sam.11286
学科分类:社会科学、人文和艺术(综合)
来源: John Wiley & Sons, Inc.
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【 摘 要 】

Abstract The single-diode model is a widely used representation of the electrical performance of a photovoltaic (PV) device. This model relates the PV device's terminal current and voltage at a given irradiance and temperature. In order to obtain reasonable estimates of single-diode model parameters given noisy data, one ought to be able to characterize the estimability of the model parameters. Here, we look to an established method called data cloning to check for evidence of inestimability..

【 授权许可】

Unknown   

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