Journal cover Journal topic
Advances in Science and Research Contributions in Applied Meteorology and Climatology
Journal topic

Journal metrics

Journal metrics

  • h5-index value: 10 h5-index 10
Volume 14 | Copyright
Adv. Sci. Res., 14, 227-230, 2017
https://doi.org/10.5194/asr-14-227-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 Jul 2017

11 Jul 2017

Wind power application research on the fusion of the determination and ensemble prediction

Shi Lan et al.
Cited articles
Baran, S.: Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components, Comput. Stat. Data An., 75, 227–238, 2014.
Deppe, A. J., Gallus Jr., W. A., and Takle, E. S.: A WRF ensemble for improved wind speed forecasts at turbine height, Weather Forecast., 28, 212–228, 2013.
Fan, L.: Preliminary study of statistically downscaled temperature ensemble predictions in eastern China, Plateau Meteorology, 29, 392–402, 2010.
Jiang, Y., Song, L., and Cheng, X.: An integrated and revised method of forecasting wind speed for wind farms, Resources Science, 35, 673–680, 2013.
Lin, W., Wang, J., Zhang, W., Guo, Z., Chi, D., and Zhang, Y.: Program of wind speed prediction based on numerical simulation with intelligent optimization algorithm, Climatic Environ. Res., 17, 646–658, 2012.
Publications Copernicus
Download
Short summary
The fused product of wind speed for the wind farm is designed through using wind speed products of ensemble prediction from European Centre for Medium-Range Weather Forecasts and professional numerical model products on wind power based on Mesoscale Model5 and Beijing Rapid Update Cycle, which is suitable for short-term wind power forecasting and electric dispatch. The result shows that the fusion forecast has made obvious improvement on the accuracy relative to the numerical forecasting.
The fused product of wind speed for the wind farm is designed through using wind speed products...
Citation
Share