J. Huertas-Tato, Ricardo Aler, F. J. Rodríguez-Benítez, C. Arbizu-Barrena, D. Pozo-Vázquez, Inés María Galván. Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. In Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Volume 10870 of Lecture Notes in Computer Science, pages 622-633, Springer, 2018. [doi]
@inproceedings{Huertas-TatoARA18,
title = {Predicting Global Irradiance Combining Forecasting Models Through Machine Learning},
author = {J. Huertas-Tato and Ricardo Aler and F. J. Rodríguez-Benítez and C. Arbizu-Barrena and D. Pozo-Vázquez and Inés María Galván},
year = {2018},
doi = {10.1007/978-3-319-92639-1_52},
url = {https://doi.org/10.1007/978-3-319-92639-1_52},
researchr = {https://researchr.org/publication/Huertas-TatoARA18},
cites = {0},
citedby = {0},
pages = {622-633},
booktitle = {Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings},
editor = {Francisco Javier de Cos Juez and José Ramón Villar and Enrique A. de la Cal and Álvaro Herrero and Héctor Quintián and José Antonio Sáez and Emilio Corchado},
volume = {10870},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-92639-1},
}