Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks

被引：65
|
作者：
Notton, Gilles [1 ]
Paoli, Christophe [2 ]
Vasileva, Siyana [3 ]
Nivet, Marie Laure [2 ]
Canaletti, Jean-Louis [1 ]
Cristofari, Christian [1 ]
机构：
[1] Univ Corsica, CNRS, UMR 6134, Res Ctr Vignola, F-20000 Ajaccio, France
[2] Univ Corsica, CNRS, UMR 6134, Fac Sci, F-20250 Corte, France
[3] Tech Univ Sofia, Fac Elect Engn, Sofia 1000, Bulgaria
来源：
ENERGY | 2012年 / 39卷 / 01期
关键词：
Solar irradiation; Artificial neural network; Estimation; DIFFUSE-RADIATION; INCLINED SURFACES; MONTHLY-AVERAGE; VERTICAL SURFACES; SLOPE IRRADIANCE; MODEL; FRACTION; ILLUMINANCE; PREDICTION; VALIDATION;
D O I：
10.1016/j.energy.2012.01.038
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Calculating global solar irradiation from global horizontal irradiation only is a difficult task, especially when the time step is small and the data are not averaged. We used an Artificial Neural Network (ANN) to realize this conversion. The ANN is optimized and tested on the basis of five years of solar data; the accuracy of the optimal configuration is around 6% for the RRMSE (relative root mean square error) and around 3.5% for the RMAE (relative mean absolute value) i.e. a better performance than the empirical correlations available in the literature. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：166 / 179
页数：14
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