Paper Title:
Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting
  Abstract

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)
Chapter
Environmental Biotechnology
Edited by
Yanguo Shi and Jinlong Zuo
Pages
1158-1162
DOI
10.4028/www.scientific.net/AMR.183-185.1158
Citation
J. L. Liu, X. Chen, T. J. Zhang, "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
$32.00
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