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

Publication date: Available online 30 April 2014
Author(s): Kahina Dahmani , Rabah Dizene , Gilles Notton , Christophe Paoli , Cyril Voyant , Marie Laure Nivet
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, …) 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.

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