Wind Power Prediction Based on Fuzzy Information Granulation
- 10.2991/icaees-15.2015.10How to use a DOI?
- power forecast. wind power. fuzzy information granulation. SVM
In this paper, a new method for predicting the value of wind power is proposed, which combine fuzzy information granulation and support vector machine.Firstly,extract the original data and make fuzzy information granulation of the original data.Secondly,do the regression prediction of the granulated data by SVM.Finally,present the data of wind power,and verify the forecasting result.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Nan Sheng AU - Guochu Chen PY - 2015/07 DA - 2015/07 TI - Wind Power Prediction Based on Fuzzy Information Granulation BT - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015 PB - Atlantis Press SP - 49 EP - 53 SN - 2352-5401 UR - https://doi.org/10.2991/icaees-15.2015.10 DO - 10.2991/icaees-15.2015.10 ID - Sheng2015/07 ER -