Empirical modelling of hourly direct irradiance by means of hourly global irradiance, Energy, pp.25-675, 2000. ,
Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation, Solar Energy, vol.81, issue.2, pp.254-267, 2007. ,
DOI : 10.1016/j.solener.2006.03.009
Prediction of global daily solar radiation using higher order statistics, Renewable Energy, vol.27, issue.4, pp.647-666, 2002. ,
DOI : 10.1016/S0960-1481(01)00153-7
A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values. Renew Energy, pp.1414-1425, 2007. ,
Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece, Renewable Energy, vol.33, issue.5, pp.928-932, 2008. ,
DOI : 10.1016/j.renene.2007.09.028
Artificial neural network estimation of global solar radiation using air temperature and relative humidity, Energy Policy, vol.36, issue.2, pp.571-576, 2008. ,
DOI : 10.1016/j.enpol.2007.09.033
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the, pp.903-995, 1998. ,
DOI : 10.1098/rspa.1998.0193
Computational capabilities of recurrent NARX neural networks, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.27, issue.2, p.208, 1997. ,
DOI : 10.1109/3477.558801
NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches, Fuzzy Sets and Systems, pp.331-350, 2005. ,
High Frequency Monitoring System for Integrated Water Resources Management of Rivers, 1st EWaS-MED International Conference: Improving Efficiency of Water Systems in a Changing Natural and Financial Environment, pp.1-6, 2013. ,