|Título:||Machine Learning Prediction of Global Photovoltaic Energy in Spain. ICREPQ’14, International Conference on Renewable Energies and Power Quality. Córdoba, España, Abr. 8-11, 2014. Proceedings. Paper 5, 423. Renewable Energy and Power Quality Journal (RE&PQJ). ISSN 2172-038 X, No.12, April 2014.|
|Autor:||Gala, Y., Fernández, A., Dorronsoro, J. R., García, M., & Rodríguez, C.|
The input dimension is thus very large but, while further work is needed, our results show SVR to be an effective tool to deal with the problem’s underlying dimension, yield useful forecasts and further provide some insights on the relationship between NWP and actual solar energy production.