An advanced model for short term forecasting of mean wind speed and mean wind power

  1. Ramírez-Rosado, I.J. 1
  2. Fernández-Jiménez, L.A. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Control and Intelligent Systems

ISSN: 1480-1752

Año de publicación: 2004

Volumen: 32

Número: 1

Páginas: 21-26

Tipo: Artículo

SCOPUS: 2-s2.0-0348162484 GOOGLE SCHOLAR

Otras publicaciones en: Control and Intelligent Systems

Resumen

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.