The Combination Forecasting Model for Urban Water Consumption Based on Support Vector Machines

During the optimal control in city water supply, the short-term urban water consumption prediction is gist. This paper establish a new model of the short-term urban water consumption prediction - the combination forecasting model based on support vector machines (CFSVM), with Chinese city´s water consumption as samples. After rectifying the model, it gets higher predicting precision. Comparing to other warning models, the CFSVM model for Chinese urban water consumption prediction really has bigger application foreground because of its better characters such as higher accuracy rate.