Forecasting and control of water demand based on the improved largest Lyapunov exponent algorithm

According to the non-linearity and complexity of urban required water quantity, the predicted method is depicted based on the improved largest Lyapunov exponent to increase the forecasting precision of urban water quantify. By making full use of historical data and information, short-term water quantity is conducted after restructuring of phase space based on chaos theory. Comparing actual water time series with historical data by chaos theory, rationality and feasibility of the predicted method are indicated. There is an excellent effect to use improved Lyapunov exponent algorithm to predict urban water quantity and to control water supply of pump station.