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- Title
A Fusion Model for Day-Ahead Wind Speed Prediction based on the Validity of the Information.
- Authors
Jie Wan; Wenbo Hao; Guorui Ren; Leilei Zhao; Bingliang Xu; Chengzhi Sun; Zhigang Zhao; Chengrui Lei; Yufeng Guo; Jinfu Liu; Daren Yu
- Abstract
In recent years wind power is a hot topic in the field of new energy. However, due to the larger fluctuations of wind power, which is a threat to the safe operation of the power grid, large-scale wind power integration has been greatly restricted. Therefore, accurate wind speed forecast has great significance to wind power integration, especially the day-ahead wind speed forecast of 1-24 hours. For the sake of accurate wind speed forecast, the information efficiency of NWP and measured data were taken into account in this paper. Based on this, a fusion model was proposed. Experiments show that the fusion strategy can improve the accuracy of the day-ahead wind speed prediction results.
- Subjects
WIND speed measurement; NUMERICAL weather forecasting; WIND power
- Publication
International Journal of Simulation: Systems, Science & Technology, 2016, Vol 17, Issue 22, p13.1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.17.28.13