%0 Journal Article %1 Salcedo-Sanz.Casanova-Mateo.ea2014 %A Salcedo-Sanz, S. %A Casanova-Mateo, C. %A Pastor-Sánchez, A. %A Sánchez-Girón, M. %D 2014 %J Solar Energy %K Daily global prediction radiation solar %N 0 %P 91 - 98 %R http://dx.doi.org/10.1016/j.solener.2014.04.009 %T Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach %V 105

@article{Salcedo-Sanz.Casanova-Mateo.ea2014, added-at = {2014-12-14T10:04:39.000+0100}, author = {Salcedo-Sanz, S. and Casanova-Mateo, C. and Pastor-Sánchez, A. and Sánchez-Girón, M.}, biburl = {https://www.bibsonomy.org/bibtex/20fd657b0dc79ae389a70a59fb4bfa6e6/procomun}, doi = {http://dx.doi.org/10.1016/j.solener.2014.04.009}, file = {Salcedo-Sanz.Casanova-Mateo.ea2014.pdf:Salcedo-Sanz.Casanova-Mateo.ea2014.pdf:PDF}, interhash = {1aa4631d3d313584d79328821b328405}, intrahash = {0fd657b0dc79ae389a70a59fb4bfa6e6}, issn = {0038-092X}, journal = {Solar Energy }, keywords = {Daily global prediction radiation solar}, number = 0, pages = {91 - 98}, timestamp = {2014-12-14T10:04:39.000+0100}, title = {Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach }, volume = 105, year = 2014 }