What is it about?
The aim of this study was twofold: 1) to assess prognostic performances of 21 parameters that influence the water consumption and 2) to assess performances of two different approaches (statistical and machine learning-based) with 6 various predictive models for the estimation of water consumption by using the observed parameters.
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Why is it important?
Preschool buildings are among the biggest water consumers in the public buildings sector, which efficient management of water consumption could make considerable savings in city budgets.
Perspectives
With the ongoing progress towards the Industry 4.0 and the concept of smart cities, it is expected that eased access and availability of data will enable breakthrough of data science and predictive modeling into the water management of public buildings.
PhD Nebojša Jurišević
Faculty of Engineering, University of Kragujevac
Read the Original
This page is a summary of: Assessment of predictive models for estimation of water consumption in public preschool buildings, Journal of Engineering Research, October 2021, Journal of Engineering Research,
DOI: 10.36909/jer.10941.
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