Short term forecast of wind power by an artificial neural network approach

The wind power forecasting constitutes a critical task for wind power generation system, since it is essential for the integration of wind energy into power system. In this paper, an artificial neural networks (ANNs) were applied to predict the wind power in a short term scale, in the Capo Vado site in Italy. Results from a real-world case study are presented. The development, training and validation of neural network model for the wind power prediction are discussed.