Urban Water Consumption Forecast Based on Neural Network Model
Guoxiang Zhang · Information and Computation · 2004
Based on BP model of the artificial neural network, according to the factors and features of urban water supply, a dynamic water consumption forecasting model with the characteristics of both regression and time series is developed. Experiments at Shenyang City show that the forecasting error of the model is small and the model can meet the practical requirement of water-supply dispatch system.