An empirical assessment between several machine learning approaches to estimate long-term wind speed conditions.

Autores: F. Castellano, S. Díaz, J.A. Carta. 

Congreso: 7th International Congress of Energy and Environment Engineering- CIEEM7. (17 a 19 de julio de 2017, Las Palmas de Gran Canaria, España). 

Presentación:  pdf Act 2.1.1 ITC-ULPGC CIIEM7 Machine learning (994 KB)

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