GRU通过引入更新门(update gate)来控制信息在时间步之间的流动,从而能够捕捉长期依赖关系。GRU的优势在于它能够处理长序列数据,并且计算效率较高。 结合这三个技术,基于VMD-SSA-GRU的回归预测模型的基本理论如下: 信号预处理: 首先,使用VMD对原始时间序列数据进行分解,得到一组IMFs,这些IMFs代表了信号的不同频率成分...
VMD-SSA-Transformer-GRU多变量时间序列光伏功率预测,变分模态分解+麻雀搜索算法优化Transformer结合门控循环单元多变量时间序列预测(程序可以作为核心级论文代码支撑,目前尚未发表); 2.麻雀搜索算法优化参数为:学习率,隐含层单元数目,最大训练周期,运行环境为Matlab2023b及以上; 3.数据集为excel(光伏功率数据集,输入辐射...
The proposed method was validated using the NASA battery dataset and compared with two combination models. The results show that the proposed method achieves an average improvement of 60% in prediction accuracy compared to the other two methods.丁德邻张营左洪福Electronic Compone...
Results show that, compared to a standalone GRU model and a VMD+GRU model, the VMD+SSA+GRU model's reconstruction data root mean squared error is reduced by 46.61% and 32.57% on average, respectively, while the coefficient of determination increases by 38.74% and 18.50%. The data ...