AWWA ACE54290

AWWA ACE54290 Case Study: Forecasting Short-Term Water Demand Using Artificial Neural Networks
Conference Proceeding by American Water Works Association, 06/01/2001

Hunt, Rick;Bennett, Janis;Habig, Chris J.

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The purpose of this presentation is to describe the application of an artificial neural network (ANN) to forecast short-term water demand, and determine if improvements in accuracy can be obtained. The paper summarizes the benefits of forecasting short-term water demand. ANN's are described and their operation detailed. As ANNs can be trained to recognize complex relationships and patterns in data they can rapidly and accurately model non-linear relationships such as those involved in short-term water demand forecasting.