Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics

A Hybrid Model for Wind Speed Prediction based on Spatial Correlation

Authors
Dong Wang, Jianping Fei, Haidong Qian, Yuhong Zhao
Corresponding Author
Dong Wang
Available Online August 2015.
DOI
https://doi.org/10.2991/msam-15.2015.28How to use a DOI?
Keywords
wind speed forecasting; spatial correlation; coupla functions; state space
Abstract
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.
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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
978-94-6252-104-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-15.2015.28How to use a DOI?
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  -