Title :
Forecasting of Urban Water Demand Based on Chaos Theory
Author_Institution :
Harbin Inst. of Technol., Harbin
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;
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
DOI :
10.1109/CHICC.2006.4347563
