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Average day (AD), peak day (PD) and mean day maximum month (MDMM) demand curves, often used in water supply network modelling, were developed from the herein created methodology using both individual end-use level and hourly demand patterns from the smart meters.
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The DISC model was developed to systematically support such evaluations.
Decomposition model and TES models were developed.
Reaction mechanism and kinetic model were developed.
Quadratic models were developed and rigorously checked.
Models were developed in the GAMS environment.
Two multiple nonlinear regression models were developed.
The models were developed by two steps.
The bagging models were developed using N = 64 models.
Statistical models were developed to predict non-response.
Habitat selection models were developed using only fresh signs.
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