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

Kahina Dahmani, Rabah Dizene, Gilles Notton, Christophe Paoli, Cyril Voyant and Marie Laure Nivet

Energy, 2014, vol. 70, issue C, 374-381

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, …) 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.

Keywords: Solar irradiation; Artificial Neural Network; Estimation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:70:y:2014:i:c:p:374-381

DOI: 10.1016/j.energy.2014.04.011

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