A Study of Wind Statistics Through Auto-Regressive and Moving-Average (ARMA) Modeling
Author(s): YIN Zhang, ZHOU Zongren
Pages: 61-72
Year: 2001 Issue: 1
Journal: CHINA OCEAN ENGINEERING
Keyword: Auto-Regressive and Moving-Average (ARMA) modeling; probability distributions; extreme wind speeds;
Abstract: Statistical properties of winds near the Taichung Harbour are investigated. The 26 years′incomplete data of wind speeds, measured on an hourly basis, are used as reference. The possibility of imputation using simulated results of the Auto-Regressive (AR), Moving-Average (MA), and/or Auto-Regressive and Moving-Average (ARMA) models is studied. Predictions of the 25-year extreme wind speeds based upon the augmented data are compared with the original series. Based upon the results, predictions of the 50- and 100-year extreme wind speeds are then made.
Pages: 61-72
Year: 2001 Issue: 1
Journal: CHINA OCEAN ENGINEERING
Keyword: Auto-Regressive and Moving-Average (ARMA) modeling; probability distributions; extreme wind speeds;
Abstract: Statistical properties of winds near the Taichung Harbour are investigated. The 26 years′incomplete data of wind speeds, measured on an hourly basis, are used as reference. The possibility of imputation using simulated results of the Auto-Regressive (AR), Moving-Average (MA), and/or Auto-Regressive and Moving-Average (ARMA) models is studied. Predictions of the 25-year extreme wind speeds based upon the augmented data are compared with the original series. Based upon the results, predictions of the 50- and 100-year extreme wind speeds are then made.
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