A Hybrid Model for Wind Speed Prediction based on Spatial Correlation
Dong Wang, Jianping Fei, Haidong Qian, Yuhong Zhao
Available Online August 2015.
- https://doi.org/10.2991/msam-15.2015.28How to use a DOI?
- wind speed forecasting; spatial correlation; coupla functions; state space
- The accurate prediction of wind speed is greatly significant for evaluating the security and economy of the wind farm which is connected to the grid. This paper proposed a hybrid model for wind speed prediction based on spatial correlation and nonlinear state space model. Firstly, a rank correlation coefficient is calculated according a Coupla function and the coefficient is used to choose the input data of the model. A support vector regression machine is introduced to build a nonlinear state space model, and then a hybrid model is obtained. Finally,experiment results based on some public data are given, the results demonstrate that the proposed hybrid model has higher prediction accuracy and stable performance while comparing with some classical algorithm.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dong Wang AU - Jianping Fei AU - Haidong Qian AU - Yuhong Zhao PY - 2015/08 DA - 2015/08 TI - A Hybrid Model for Wind Speed Prediction based on Spatial Correlation PB - Atlantis Press SP - 124 EP - 127 SN - 1951-6851 UR - https://doi.org/10.2991/msam-15.2015.28 DO - https://doi.org/10.2991/msam-15.2015.28 ID - Wang2015/08 ER -