Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43993
Título: Solar radiation modelling for the estimation of the solar energy generation
Autores/as: Hernández-Travieso, Jose G.
Travieso, Carlos M. 
Alonso, Jesús B. 
Dutta, Malay Kishore
Clasificación UNESCO: 3303 ingeniería y tecnología químicas
Fecha de publicación: 2014
Publicación seriada: 2014 7th International Conference on Contemporary Computing, IC3 2014
Conferencia: 2014 7th International Conference on Contemporary Computing, IC3 2014 
Resumen: To know in advance the value of solar radiation is an advantage in order to obtain solar energy. This paper proposes the design and implementation of solar radiation modelling for the estimation of the solar energy generation, based on different series of data collected from meteorological stations in Gran Canaria and Tenerife (Canary Islands, Spain), helping to generate green energy from sun by the estimation of solar radiation. Artificial Neural Network multilayer perceptron, were the classification method used to obtain the forecast. The study of solar radiation prediction achieves a mean average error of 0.04 kilowatts hour per square meter.
URI: http://hdl.handle.net/10553/43993
ISBN: 9781479951734
ISSN: 2572-6110
DOI: 10.1109/IC3.2014.6897230
Fuente: 2014 7th International Conference on Contemporary Computing, IC3 2014 (6897230), p. 536-541
Colección:Actas de congresos
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