Variational Data Assimilation for Renewable Wind Energy Predictions: China Inner Mongolia Case Study

Hai Feng Wang; Wen Jun Yin; Meng Zhang; Jin Dong

doi:10.4028/www.scientific.net/AMR.383-390.3685

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Variational Data Assimilation for Renewable Wind...

Variational Data Assimilation for Renewable Wind Energy Predictions: China Inner Mongolia Case Study

Abstract:

Advanced data assimilation method is used for the short-term wind power forecasting based on a meso-scale model. Considerable forecast error reduction is concluded from a case study in China, where a better resolved high-resolution initial condition is introduced via assimilating various in-situ observations.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

3685-3689

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.3685

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Online since:

November 2011

Authors:

Hai Feng Wang, Wen Jun Yin, Meng Zhang, Jin Dong

Keywords:

Numerical Werather Prediction, Variational Data Assimilation, Wind Power

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References

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