Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43993
Title: Solar radiation modelling for the estimation of the solar energy generation
Authors: Hernández-Travieso, Jose G.
Travieso, Carlos M. 
Alonso, Jesús B. 
Dutta, Malay Kishore
UNESCO Clasification: 3303 ingeniería y tecnología químicas
Issue Date: 2014
Journal: 2014 7th International Conference on Contemporary Computing, IC3 2014
Conference: 2014 7th International Conference on Contemporary Computing, IC3 2014 
Abstract: 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
Source: 2014 7th International Conference on Contemporary Computing, IC3 2014 (6897230), p. 536-541
Appears in Collections:Actas de congresos
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