Wind Farm Power Prediction and Uncertainty Quantification

In the recent years, due to the increase in the average temperature and environmental pollution and also the demand for energy, finding new resources for energy generation has been a big challenge for the governments. Among the various renewable energy resources, the energy derived from the wind farms has absorbed a great deal of attention. Due to the increase in the power generated by the wind power plants and their influence in the power systems and according to their variable and oscillatory structure, accurate prediction of the wind farms output power is required for their participation in the electric market. This prediction faces to some uncertainties. The wind farms owners should have a distinct strategy and sale program for trading in the electric market. This program should reflex the uncertainties. In this paper, Wavelet-Radial basis function (WT+RBF) is used for the prediction of the output power of the Tetrapolis Kefalonia in Greece and the uncertainties values is calculated using Quantile regression method.