Ruano, AntonioCrispim, E. M.Ferreira, P. M.2013-02-052013-02-052008Ruano, Antonio Eduardo de Barros; Crispim, E. M.; Ferreira, P. M. Prediction of the solar radiation evolution using computational intelligence techniques and cloudiness indices, International Journal of Innovative Computing Information and Control, 4, 5, 1121-1133, 2008.1349-4198AUT: ARU00698;http://hdl.handle.net/10400.1/2224In this paper, Artificial Neural Networks are applied for multi-step long term solar radiation prediction. The input-output structure of the neural network models is selected using evolutionary computation methods. The networks are trained as onestep- ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and auto-regressive with exogenous inputs models are compared, considering cloudiness indices as inputs in the latter case. These indices are obtained through pixel classification of ground-to-sky images, captured by a CCD camera.engCloudiness indicesSolar radiationNeural networksMulti-objective genetic algorithmsjournal article2013-01-26