TY  - JOUR 
AU  - Quintián Pardo, Héctor
AU  - Calvo Rolle, José L.
AU  - Corchado Rodríguez, Emilio Santiago
PY  - 2014
SN  - 0868-4952
UR  - http://hdl.handle.net/10366/134316
AB  - The aim of this study is to predict the energy generated by a solar thermal system. To achieve this, a hybrid intelligent system was developed based on local regression models with low complexity and high accuracy. Input data is divided into clusters...
LA  - en
KW  - Computer Science
TI  - A Hybrid Regression System Based on Local Models for Solar Energy Prediction
ER  -