Analysis of Artificial Neural Networks for Forecasting Photovoltaic Energy Generation with Solar Irradiance

HIGHLIGHTS The input GHI variable increased the prediction accuracy of the ANN models in 10%. The meteorological variables do not influence the prediction errors statistically. ANNs with 10 neurons demonstrated lower accuracy than those with 30 and 60 neurons. ANNs with one hidden layer showed similar or higher accuracy than those with two layers.