A MLP neural network to predict the wind speed and direction at Zaragoza

Autores: Miguel San Miguel Marco , David Lahoz
Localización: Ninth international conference Zaragoza-Pau on applied mathematics and statistics: Jaca (Spain). September 19-21, 2005 / coord. por Monique Madaune-Tort , 2006, ISBN 84-7733-871-X, págs. 293-300
Idioma: inglés
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Resumen
- In this work a Multi- Layer Perceptron (MLP) Neural Network to predict the wind direction and speed at Zaragoza is introduced. The model predicts there two variables, wind speed and wind direction, in an instant t from the TEMP and SYNOP data obtained in instants t -6, t -12, t -18 and t -24 hours before. One physicalmathematical wind prediction model was showed in [2] where two Neural Networks were presented, the ¿time expert¿ and the ¿spatial expert¿. Here, the TEMP data classification given in [5] and [6] is added to the ¿time expert¿. The Neural Network presented in this work, has only one hidden layer with four nodes. The outputs of model are compared with the real data obtained at Zaragoza