Short-term wind speed prediction method and system based on rolling time sequence and support vector machine

The invention relates to a short-term wind speed prediction method and system based on a rolling time sequence and a support vector machine. The short-term wind speed prediction method based on the rolling time sequence and the support vector machine has the beneficial effects that the chaos characteristic of the wind speed is reproduced by utilizing a space phase reconstruction method, then the linear and nonlinear characteristics of the wind speed sequence are reflected in combination with the time sequence model and the support vector machine, and the precision and reliability of wind speed prediction are improved. 本发明涉及一种基于滚动时间序列和支持向量机的短期风速预测方法和系统。本发明基于滚动时间序列和支持向量机的短期风速预测方法，其有益效果在于利用空间相重构法，重现了风速的混沌特性，而后结合时间序列模型和支持向量机反应风速序列的线性和非线性特性，提高了风速预测的精度可靠性。