Water Demand Forecasting in Hubei Province with BP Neural Network Model
Zhen Quan Tang, Gang Liu, Wen Nian Xu, Zhenyao Xia, Hai Wen Xiao · Advanced materials research · 2012
Prediction of water demand is a basic link in water resources plan and management. Reasonable and accurate prediction of storage helps to develop the plan of water resources the next year, which is very favorable to improve the utilization ratio of water resources and reduce the waste of water resources. This paper uses BP neural network to simulate and predict the water content based on the data of water in recent ten years in Hubei province and evaluates the forecast results. The results show that BP neural network for water demand prediction is feasible.