Short term gust forecasting by using numerical weather prediction and multi timescale nonparametric regression model

نویسندگان

  • Atsushi YAMAGUCHI
  • Takeshi ISHIHARA
چکیده

In this study, an ARX model with nonparametric multi time scale regression model was proposed for short term gust forecasting and applied to a ski resort in Japan. Proposed ARX model can be used for short term forecasting of mean and fluctuating wind speed. Proposed nonparametric multi time scale regression model can appropriately estimate the peak factor and shows better agreement with the measurement compared to conventional empirical peak factor.

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تاریخ انتشار 2013