Markov-switching autoregressive models for wind time series

نویسندگان

  • Pierre Ailliot
  • Valérie Monbet
چکیده

In this paper we build a Markov-Switching Autoregressive model to describe a long time series of wind speed measurement. It is shown that the proposed model is able to describe the main characteristics of this time series, and in particular the various time scales which can be observed in the dynamics, from daily to interannual fluctuations.

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عنوان ژورنال:
  • Environmental Modelling and Software

دوره 30  شماره 

صفحات  -

تاریخ انتشار 2012