说明：  我们提出了一个名为多个CNN的模型来解决这个问题 周期多元时间序列预测问题。 多个CNN的工作过程是分析时间序列的周期性，提取紧密度和长短周期信息分别对预测目标进行整合，最后整合三部分的特征预测。
(we propose a model called Multiple CNNs to solve the problem of periodic multivariate time series prediction. The working process of Multiple CNNs is analyzing the periodicity of time series, extracting the closeness and the long and short periodic information of the predicted target respectively, and finally integrating the characteristics of the three parts to make the prediction.)