An Advanced Model for Short-Term Forecasting of Mean Wind Speed and Wind Electric Power

I.J. Ramírez-Rosado and L.A. Fernández-Jiménez


Wind power forecasting, time series prediction, fuzzy inference systems


The integration of wind energy conversion systems into electric power networks has become an important problem in the integral forecast of short-term demand. Due to the intermittent nature of wind, it is difficult to ensure the power generated by wind farms a few minutes ahead. In this article a new model based on Fourier decomposition and fuzzy inference systems is used for the short-term forecast of the mean wind speed and the electric power generated by wind turbines. Only past values of wind speeds are used. The results obtained with this model are better than those obtained with a relevant set of forecasting models using the same data.

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