Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015

<Previous Article In Volume
Next Article In Volume>

Wind Power Prediction Based on Fuzzy Information Granulation

Authors
Nan Sheng, Guochu Chen
Corresponding Author
Nan Sheng
Available Online July 2015.
DOI
10.2991/icaees-15.2015.10How to use a DOI?
Keywords
power forecast. wind power. fuzzy information granulation. SVM
Abstract

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.

Copyright
© 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/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/icaees-15.2015.10
ISSN
2352-5401
DOI
10.2991/icaees-15.2015.10How to use a DOI?
Copyright
© 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

risenwbib
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  -