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

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

3685-3689

DOI:

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

Citation:

H. F. Wang et al., "Variational Data Assimilation for Renewable Wind Energy Predictions: China Inner Mongolia Case Study", Advanced Materials Research, Vols. 383-390, pp. 3685-3689, 2012

Online since:

November 2011

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Price:

$35.00

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