The ocean-atmosphere interaction, orographic effect, low-frequency fluctuation process and their application to short-term climatic prediction; 海气相互作用、地形影响、低频振荡过程以及在短期气候预测中的应用;
Analysis of Low-Frequency Yawing Motion of a Ship at Anchor in Wind and Current and Prediction of Dragging Anchor 风流作用下锚泊船低频振荡分析及走锚预报
Firstly, the original data will be decomposed into low-frequency trend component and high-frequency random component by Fourier transform. Secondly, according to the characteristics of each component, chaotic prediction model and ARM A prediction model are established separately to forecast the short-term wind power. 首先,采用傅里叶变换将原始数据分解为低频趋势分量和高频随机分量;然后,根据低频、高频时间序列分量的特点,分别建立混沌预测模型和ARMA预测模型,并将预测值叠加得到预测结果。