Short-Term Wind Speed Forecasting by Spectral Analysis


29th Irish Signals and Systems Conference (ISSC), Belfast, England, 21 - 22 June 2018 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/issc.2018.8585384
  • City: Belfast
  • Country: England
  • Keywords: wind speed forecasting, time-series, subspace method, auto-regressive moving-average, Kalman filter, spectrum estimation
  • Anadolu University Affiliated: Yes


In this paper, we apply a wind speed forecasting framework developed earlier by the authors to the two-dimensional wind velocity measurements collected from a meteorological station in the Marmara region of Turkey over a short-term. In the application of the framework, first the measurements are de-trended for the diurnal and the weekly patterns. Other stages of the framework are covariance-factorization via a recently developed subspace method and one-step-ahead and/or multi-step-ahead Kalman filter predictions.