Nouveau papier accepté dans la revue "Energy"

Un nouveau papier auquel j'ai collaboré vient d'être accepté pour publication dans la revue "Energy" éditée par Elsevier.

Title of the paper: Estimation of 5-min time-step data of tilted solar global irradiation using ANN model

Authors: K. Dahmani, R. Dizene, G. Notton, C. Paoli, ML Nivet, C. Voyant

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 chose to use an Artificial Neural Network (ANN) to realize this conversion applied to 5-min solar radiation data of Bouzareah, Algeria. The ANN is developed and optimized using two years of solar data; the nRMSE is around 8% for the optimal configuration, which corresponds to a very good accuracy for such a short time-step.

Sources: http://www.journals.elsevier.com/energy/ (Impact Factor: 3.65).