中国电力2011，Vol.44Issue(9)：61-64,4.
基于SVM的时间序列短期风速预测
Short-term wind speed forecasting based on SVM time-series method
鲍永胜 1吴振升1
作者信息
- 1. 北京交通大学电气工程学院,北京 100044
- 折叠
摘要
Abstract
Short-term wind speed forecasting is of significance for the operation of grid-connected wind power generation systems. An accurate wind speed forecasting can effectively reduce or avoid the adverse effect of wind farm on power grid and strengthen competition ability of wind farm in electricity market. A new application of the Support Vector Machine (SVM) theory is introduced. The detailed process for SVM usage in wind forecast process is discussed. A SVM wind speed forecast model for wind farm is founded. This model, which only uses historical wind data as input, is simple and effective compared to other models which need additional meteorological data. The comparison of SVM forecast results with other forecast models such as improved fuzzy analytical hierarchy process model, ARMA-ARCH model, EMD-ARMA model and double ARMA models proves the validity of the proposed model. It can be used in the short-term forecast and power generation prediction effectively.关键词
短期风速预测/支持向量机(SVM)/风电场Key words
short-term wind speed forecasting/ support vector machine (SVM)/ wind farm分类
信息技术与安全科学引用本文复制引用
鲍永胜,吴振升..基于SVM的时间序列短期风速预测[J].中国电力,2011,44(9):61-64,4.
