Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting

Abstract:

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Based on the traditional time series methods, this paper researched a time series-exponential smoothing model that is built by SPSS statistical analysis software. In the application of the model, the original data of water consumption were in processed by a particular smoothing method first.Secondly, the processed data were used to build a time series-exponential smoothing model. On error test, we found that this forecasting model has advantages of better effect, high precision and minor error on urban water demand forecasing.

Info:

Periodical:

Advanced Materials Research (Volumes 183-185)

Edited by:

Yanguo Shi and Jinlong Zuo

Pages:

1158-1162

DOI:

10.4028/www.scientific.net/AMR.183-185.1158

Citation:

J. L. Liu et al., "Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting", Advanced Materials Research, Vols. 183-185, pp. 1158-1162, 2011

Online since:

January 2011

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Price:

$35.00

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