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

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.

► ANN methodology applied to 10-min global solar irradiation in order to estimate tilted irradiations.
► Model validation with more than 101,140 data.
► Comparison with “conventional” models and hourly models.
► 8%–10% for the RMSE and around 5%–6% for the RMAE.