Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 13: Environmentally Sustainable Manufacturing Processes and Systems
Edited by
Wu Fan
Pages
3685-3689
DOI
10.4028/www.scientific.net/AMR.383-390.3685
Citation
H. F. Wang, W. J. Yin, M. Zhang, J. Dong, "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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