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《Municipal Administration & Technology》 2005-01
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An BP ANN Forecast Model for Hourly Water Demand of Urban Water-distribution System

JIN Jian-hua1,SHI Yi-xiong1,SHI Yong-gang2(1.School of Civil Engineering and Architecture of Wuhan University of Technology, Wuhan Hubei 430070,China;2.College of Computer Science and Engineering of University of Electronic Science and Technology of China, Chengdu Sichuan 610054,China)  
Water demand forecast plays an important role in the control and operation of water-distribution system.Hourly water demand is influenced by many factors,but it is difficult to establish an accurate model on them.Based on the study of effect of weather factors on daily water demand,the forecast method is presented,and BP model of ANN and calculation are set up.The data from water plants are employed to forecast hourly demand,and the error analysis of the result demonstrates the model is effective.
【CateGory Index】: F224
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