Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model

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Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model

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作者：Kahina Dahmani^a ; Rabah Dizene^a ; Gilles Notton^b ; ^{gilles.notton@univ-corse.fr" class="auth_mail} ; ^{gilles.notton@yahoo.fr" class="auth_mail} ; Christophe Paoli^c ; Cyril Voyant^b ; Marie Laure Nivet^b
关键词：Solar irradiation ; Artificial Neural Network ; Estimation
刊名：Energy
出版年：1 June 2014
年：2014
卷：70
期：Complete
页码：374-381
全文大小：1520 K

文摘

el">•: ANN (Artificial Neural Network) methodology applied to 5-min global solar irradiation in order to estimate tilted irradiations.
el">•: Model validation with more than 75,000 data.
el">•: 8.81% for the RMSE (root means square error) and around 6.63% for the nMAE (normalized mean absolute error).
el">•: Solar radiation models with such a fine time step are rare.

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