Christopher J. Hutton

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Graphical Abstract Highlights • A new methodology is presented for development of water demand forecasting models • An iterative Bayesian method is used to diagnose and reduce model structural error • Statistical coverage of the prediction bounds is used to evaluate model performance • Heavy tailed error model better captures time varying nature of demand(More)
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