A review of solar radiation prediction using artificial neural networks

Prediction of solar radiation plays an important role in different energy systems. The aim of this paper is twofold: firstly, we provide an updated review of solar radiation prediction models using ANN's, based on 32 retained papers, by specifying the prediction horizon, ANN architecture and the corresponding obtained performance indicators. Secondly, research limitations are carried out followed by proposed recommendations and perspectives for future investigations.