Simplification of atmospheric models for real-time wind forecast

Qing Guo Wang, Zhen Ye, Lihong Idris Lim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In wind energy industry, it is well known that real-time wind forecast can improve the performance of wind turbines if the prediction information is well used to compensate the uncertainty of the wind. Unfortunately, neither model nor method is available to give a real-time forecast of wind so far. This paper proposed a real-time wind forecast model by simplifying existing weather forecast model, MM5. Details on model simplification, forecast error correction as well as other issues like boundary conditions and simulations are also discussed.

Original languageEnglish
Title of host publicationICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages168-171
Number of pages4
Publication statusPublished - 2009
Externally publishedYes
EventICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics - Milan, Italy
Duration: 2 Jul 20095 Jul 2009

Publication series

NameICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Volume3 SPSMC

Conference

ConferenceICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics
Country/TerritoryItaly
CityMilan
Period2/07/095/07/09

Keywords

  • Kalman filter
  • MM5
  • Partial differential equations
  • Real-time wind forecast

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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