Analysis of Several Water Demand Prediction Methods Based on Gray System Theory

DU Tao, YE Yan, LI Hong-wei, LIAO Cheng-yi, SHEN Liang

Journal of Changjiang River Scientific Research Institute ›› 2010, Vol. 27 ›› Issue (7) : 12-16.

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PDF(817 KB)
Journal of Changjiang River Scientific Research Institute ›› 2010, Vol. 27 ›› Issue (7) : 12-16.
HEALTHY CHANGJIANG RIVER

Analysis of Several Water Demand Prediction Methods Based on Gray System Theory

  • DU Tao, YE Yan, LI Hong-wei, LIAO Cheng-yi, SHEN Liang
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Abstract

On the basis of the gray system theory, we weaken the original data of water demand by using several methods, then conduct comparative analysis on forecasting results. Analysis shows that the result obtained from the combination of second-order weakening operator with the AGO can get the highest accuracy. Finally, we validate the feasibility and effectiveness of the model which is applied to forecasting water demand in Beibei, Chongqing. The forecasted result is that: water demand of Beibei District is 245 million m3 in 2015, and 269 million m3 for the year of 2020.

Key words

gray model / second-order weakening operator / water demand forecast / accuracy

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DU Tao, YE Yan, LI Hong-wei, LIAO Cheng-yi, SHEN Liang. Analysis of Several Water Demand Prediction Methods Based on Gray System Theory[J]. Journal of Changjiang River Scientific Research Institute. 2010, 27(7): 12-16
PDF(817 KB)

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