DocumentCode
1656603
Title
Forecasting of Urban Water Demand Based on Chaos Theory
Author
Xizhu, Wei
Author_Institution
Harbin Inst. of Technol., Harbin
fYear
2007
Firstpage
441
Lastpage
444
Abstract
Forecasting of urban water demand is the precondition to guarantee urban water safe supply. The daily water demand is a nonlinear time series. According to the complexity and non-linearity of urban required water demand, the predicted method is extracted based on chaos theory. By making full use of data and information, water quantity is conducted after restructuring of phase space based on chaos theory. Comparing water time series with historical data by chaos theory, rationality and feasibility of the predicted method are indicated. There will be a bright merit to use chaos theory predicting urban water demand and controlling water safe supply of pump station.
Keywords
forecasting theory; time series; water supply; chaos theory; forecasting; nonlinear time series; urban water demand; urban water safe supply; Chaos; Cities and towns; Control systems; Data mining; Demand forecasting; Economic forecasting; Predictive models; Smoothing methods; Technology forecasting; Water; Chaos; Control; Forecasting; Urban water quantity;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347563
Filename
4347563
Link To Document