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Neural network approach to estimate 10-min solar global irradiation values on tilted planes

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  • Notton, Gilles
  • Paoli, Christophe
  • Ivanova, Liliana
  • Vasileva, Siyana
  • Nivet, Marie Laure

Abstract

Calculation of solar global irradiation on tilted planes from only horizontal global one is particularly difficult when the time step is small. We used an Artificial Neural Network (ANN) to realize this conversion at a 10-min time step. The ANN is developed and optimized using five years of solar data and the accuracy of the optimal configuration is around 9% for the RMSE and around 5.5% for the RMAE i.e. similar or slightly lower than the errors obtained with empirical correlations available in the literature and used for the estimation of hourly data.

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  • Notton, Gilles & Paoli, Christophe & Ivanova, Liliana & Vasileva, Siyana & Nivet, Marie Laure, 2013. "Neural network approach to estimate 10-min solar global irradiation values on tilted planes," Renewable Energy, Elsevier, vol. 50(C), pages 576-584.
    • Handle: RePEc:eee:renene:v:50:y:2013:i:c:p:576-584
    DOI: 10.1016/j.renene.2012.07.035
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