An Exploratory Model of Secondary Water-Supply System and Loading Forecasting of Water Supply Network

Because of the irrational way of water supply and lack of excellent control method, large energy is wasted during secondary water supply. This paper introduces a water supply model which can make full use of the energy of water supply network and aiming at the multi-factor influences on urban water supply system such as the complexity, non-linearity, time-variation etc. The artificial neuro-network (ANN) are conducted to estimate the loading of urban water supply.