Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8077654 | Energy | 2014 | 8 Pages |
Abstract
Converting measured horizontal global solar irradiance in tilted ones is a difficult task, particularly for a small time-step and for not-averaged data. Conventional methods (statistical, correlation, â¦) are not always efficient with time-step less than one hour; thus, we want to know if an ANN (Artificial Neural Network) is able to realize this conversion with a good accuracy when applied to 5-min solar radiation data of Bouzareah, Algeria. The ANN is developed and optimized using two years of solar data; the nRMSE (relative root means square error) is around 8% for the optimal configuration, which corresponds to a very good accuracy for such a short time-step.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Kahina Dahmani, Rabah Dizene, Gilles Notton, Christophe Paoli, Cyril Voyant, Marie Laure Nivet,