Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models
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Department of Analytical and Food Chemistry, Nutrition and Bromatology, Faculty of Sciences, University of Vigo, 32004 Ourense, Spain
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Department of Physical Chemistry, Faculty of Sciences, University of Vigo, 32004 Ourense, Spain
3
CITACA, University of Vigo, Campus Auga, 32004 Ourense, Spain
*
Authors to whom correspondence should be addressed.
Academic Editor: Silvio Simani
Energies 2021, 14(8), 2332; https://doi.org/10.3390/en14082332
Received: 25 March 2021
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Revised: 13 April 2021
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Accepted: 16 April 2021
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Published: 20 April 2021
Different prediction models (multiple linear regression, vector support machines, artificial neural networks and random forests) are applied to model the monthly global irradiation (MGI) from different input variables (latitude, longitude and altitude of meteorological station, month, average temperatures, among others) of different areas of Galicia (Spain). The models were trained, validated and queried using data from three stations, and each best model was checked in two independent stations. The results obtained confirmed that the best methodology is the ANN model which presents the lowest RMSE value in the validation and querying phases 1226 kJ/(m2∙day) and 1136 kJ/(m2∙day), respectively, and predict conveniently for independent stations, 2013 kJ/(m2∙day) and 2094 kJ/(m2∙day), respectively. Given the good results obtained, it is convenient to continue with the design of artificial neural networks applied to the analysis of monthly global irradiation.
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Keywords:
prediction; solar irradiation; artificial neural network; random forest; vector support machine
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MDPI and ACS Style
Martinez-Castillo, C.; Astray, G.; Mejuto, J.C. Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models. Energies 2021, 14, 2332. https://doi.org/10.3390/en14082332
AMA Style
Martinez-Castillo C, Astray G, Mejuto JC. Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models. Energies. 2021; 14(8):2332. https://doi.org/10.3390/en14082332
Chicago/Turabian StyleMartinez-Castillo, Cecilia, Gonzalo Astray, and Juan Carlos Mejuto. 2021. "Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models" Energies 14, no. 8: 2332. https://doi.org/10.3390/en14082332
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