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remote: Estimation of solar global irradiation in remote areas R. Urraca, J. Antonanzas, F.J. Martinez-de-Pison, F. Antonanzas-Torres

R. Urraca, J. Antonanzas, F.J. Martinez-de-Pison and F. Antonanzas-Torres, 2015. Estimation of solar global irradiation in remote areas. Journal of Renewable and Sustainable Energy (under review) Code to estimate daily solar global irradiation on a horizontal plane by means of soft computing techniques: artificial neural networks- multilayer perceptron (ANN), regression trees (M5P), extreme learning machines (ELM) and support vector regression (SVR). Additionally it is also provided the code to estimate daily solar global irradiation with two parametric models Liu & Scott (2001) and Antonanzas-Torres et al. (2013).

GNU Licence GPL3

Copyright (C) 2015 R. Urraca, J. Antonanzas, F.J. Martinez-de-Pison, F. Antonanzas-Torres

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.

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