TY  - GEN 
AU  - Ruiz Águilar, Juan Jesús
AU  - Turias Domínguez, Ignacio José
AU  - González Enrique, Francisco Javier
AU  - Urda Muñoz, Daniel
AU  - Elizondo, David
A4  - Ingeniería Informática
PY  - 2021
SN  - 1433-3058
UR  - http://hdl.handle.net/10498/35198
AB  - Accurate wind speed prediction is critical for many tasks, especially for air pollution modelling. Data-driven approaches are particularly interesting but the stochastic nature of wind renders prediction tasks difficult. Therefore, a combination of...
LA  - eng
PB  - Springer Nature
KW  - Wind speed prediction
KW  - Ensemble learning
KW  - Empirical mode decomposition
KW  - Permutation entropy
KW  - Artificial neural networks
TI  - A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction
DO  - 10.1007/s00521-020-05141-w
ER  -