电器与能效管理技术Issue(4)：57-64,8.DOI:10.16628/j.cnki.2095-8188.2024.04.008
基于VMD-FE-SSA-SVR模型的超短期风速预测
Prediction of Ultra-Short-Term Wind Speed Based on VMD-FE-SSA-SVR Model
王胜研 1王娟娟1
作者信息
- 1. 大连交通大学 自动化与电气工程学院,辽宁 大连 116028
- 折叠
摘要
Abstract
In order to effectively reduce the difficulty of wind speed prediction caused by nonlinear and disordered wind speed and improve the prediction accuracy,a combined forecasting model combining variational mode decomposition(VMD),fuzzy entropy(FE),sparrow search algorithm(SSA)and support vector regression(SVR)is proposed to predict ultra-short-term wind speed.Firstly,the wind speed data is decomposed into several modal components by VMD technology,and then each component is screened by FE,and the components with similar FE values are superimposed to form several new series.Then the new series are trained and predicted by the SVR model optimized by SSA.Finally,the prediction results of the new series are superimposed to form the final prediction results.Through the verification and comparison of different models,the prediction effect of the VMD-FE-SSA-SVR model is better,which shows that the proposed model has better prediction accuracy and stability,and can effectively predict ultra-short-term wind speed.关键词
风速预测/变分模态分解/模糊熵/麻雀搜索算法/支持向量回归Key words
wind speed prediction/variational mode decomposition(VMD)/fuzzy entropy(FE)/sparrow search algorithm(SSA)/support vector regression(SVR)分类
信息技术与安全科学引用本文复制引用
王胜研,王娟娟..基于VMD-FE-SSA-SVR模型的超短期风速预测[J].电器与能效管理技术,2024,(4):57-64,8.
