Design and Application for the Method of Dynamic Weighted Moving Average Forecasting

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原文链接

NETL
IEEE

外文摘要：In traditional prediction methods，we have to overcome the errors when predict for the dynamic data。 In this paper， the dynamic prediction theory and moving average forecasting has been combined。 We had designed a kind of weighted moving average forecasting method to predict the data of time series。 Dynamic weighting parameter has been constructed in the original moving average forecast。 The prediction effect is better than moving average forecast when compared the relative error。 At last， we predicted the Urumqi prediction of precipitation for 30 years with this method。 The effect of the prediction of relative error is smaller。

外文关键词：

Data For PredictionPrecipitationTime SeriesMoving Average

作者：

Xu Wenxia、Liao Feijia、Li Shuo、Guo Kun、Li Guodong

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会议名称：

International Conference on Intelligent Systems Design and Engineering Applications

会议地点：

Guiyang(CN)

会议母体文献：

Sixth International Conference on Intelligent Systems Design and Engineering Applications

页码：

278-280

出版时间：

2015

DOI：

10.1109/ISDEA.2015.77