Prediction of Water Consumption for Per Ten Thousand Yuan of Ningxia’s GDP Based on Combinatorial Grey Forecasting Model

Jing ZHANG, Lian TANG, Tian-yan HUANG, Xiao-juan CHENG

Abstract


This paper, based on grey system theory, establishes a grey forecasting model combining grey GM(1.1) forecasting model and Logistic equation grey forecasting model to predict water consumption per 10,000 yuan of GDP in the region. It by building models with data collected between 2006-2013 of Ningxia Hui Autonomous Region and utilizing the current computer programs, analyzes and predicts the water consumption per 10,000 yuan of GDP of the region in the future. The findings show that all the three forecasting models meet the requirement for precision, but the combinatorial grey forecasting model conforms more to the real situation.

Keywords


Grey system theory, Logistic equation grey forecasting model, GM(1.1) forecasting, Water consumption per 10,000 yuan of GDP.


DOI
10.12783/dtetr/amsm2017/14855

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