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 language | English |
|---|---|
| Title of host publication | ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings |
| Pages | 168-171 |
| Number of pages | 4 |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics - Milan, Italy Duration: 2 Jul 2009 → 5 Jul 2009 |
Publication series
| Name | ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings |
|---|---|
| Volume | 3 SPSMC |
Conference
| Conference | ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics |
|---|---|
| Country/Territory | Italy |
| City | Milan |
| Period | 2/07/09 → 5/07/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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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