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 hourly solar global irradiations on tilted planes from horizontal ones using artificial neural networks.
Authors: Gilles Notton, Christophe Paoli, Siyana Vasileva, Marie Laure Nivet, Jean-Louis Canaletti, Christian Cristofari.
Abstract: Calculation of solar global irradiations from only horizontal global ones is a difficult task, especially since 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 and the accuracy of the optimal configuration is around 6% for the RMSE and around 3.5% for the RMAE i.e. better performance than the empirical correlations available in the literature.
Keywords: Solar irradiation, Artificial Neural Network, Estimation.
Sources : http://www.elsevier.com
Title of the paper: Estimation of hourly solar global irradiations on tilted planes from horizontal ones using artificial neural networks.
Authors: Gilles Notton, Christophe Paoli, Siyana Vasileva, Marie Laure Nivet, Jean-Louis Canaletti, Christian Cristofari.
Abstract: Calculation of solar global irradiations from only horizontal global ones is a difficult task, especially since 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 and the accuracy of the optimal configuration is around 6% for the RMSE and around 3.5% for the RMAE i.e. better performance than the empirical correlations available in the literature.
Keywords: Solar irradiation, Artificial Neural Network, Estimation.
Sources : http://www.elsevier.com
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