A State Space Model for Wind Forecast Correction

نویسندگان

  • Valérie Monbet
  • Pierre Ailliot
  • Anne Cuzol
چکیده

The accuracy of numerical weather forecasts is crucial in many engineering applications, especially for the management of renewable energy. In this paper, we give a short overview of methods used to improve local weather forecast. Then we propose a new state space model in order to correct bias and phase errors in numerical wind forecasts. We present some results for real life data.

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تاریخ انتشار 2008