Short-Term Wind Speed Forecasting by Spectral Analysis
29th Irish Signals and Systems Conference (ISSC), Belfast, İngiltere, 21 - 22 Haziran 2018, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/issc.2018.8585384
- Basıldığı Şehir: Belfast
- Basıldığı Ülke: İngiltere
- Anahtar Kelimeler: wind speed forecasting, time-series, subspace method, auto-regressive moving-average, Kalman filter, spectrum estimation
- Anadolu Üniversitesi Adresli: Evet
Özet
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.