Neural network approach to estimate 10-min solar global irradiation values on tilted planes

被引：40

作者：

Notton, Gilles ^{[1
]}

Paoli, Christophe ^{[2
]}

Ivanova, Liliana ^{[3
]}

Vasileva, Siyana ^{[3
]}

Nivet, Marie Laure ^{[2
]}

机构：

[1] Univ Corsica, UMR CNRS 6134, Res Ctr Vignola, F-20000 Ajaccio, France

[2] Univ Corsica, UMR CNRS 6134, Fac Sci, F-20250 Corte, France

[3] Tech Univ Sofia, Fac Elect Engn, Sofia 1000, Bulgaria

来源：

RENEWABLE ENERGY | 2013年 / 50卷

关键词：

Solar irradiation; Artificial Neural Network; Estimation; DIFFUSE-RADIATION; INCLINED SURFACES; MODEL; PREDICTION; FRACTION;

D O I：

10.1016/j.renene.2012.07.035

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Calculation of solar global irradiation on tilted planes from only horizontal global one is particularly difficult when the time step is small. We used an Artificial Neural Network (ANN) to realize this conversion at a 10-min time step. The ANN is developed and optimized using five years of solar data and the accuracy of the optimal configuration is around 9% for the RMSE and around 5.5% for the RMAE i.e. similar or slightly lower than the errors obtained with empirical correlations available in the literature and used for the estimation of hourly data. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：576 / 584

页数：9

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