AWnet + data

Published: 17 August 2021| Version 1 | DOI: 10.17632/9xbjcg6w5s.1
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Description

This dataset is supplementary data for: Waldron, A., Ulusoy, A. J., Pecci, F., and Stoianov, I. (2021). Principal Component Based Sampling for the Continuous Maintenance of Hydraulic Models, Journal of Water Research (currently under review). The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence. Any use of this dataset must credit the authors by citing the above paper. AWnet is an operational network in Newmarket, UK, operated by Anglian Water in collaboration with the InfraSense Labs at Imperial College London. The data provided is a the product of a long term research partnership between Anglian Water and Infrasense Labs at Imperial College London. We acknowledge the financial support of EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). All data provided is recorded hydraulic data with locations and names anonymised. The authors hope that the publication of this dataset will facilitate the reproducibility of research in hydraulic model calibration and maintenance as well as broader research in the water distribution sector.

Files

Steps to reproduce

Read the associated paper: Waldron, A., Ulusoy, A. J., Pecci, F., and Stoianov, I. (2021). Principal Component Based Sampling for the Continuous Maintenance of Hydraulic Models, Journal of Water Research (currently under review).

Institutions

Imperial College London

Categories

Machine Learning, Principal Component Analysis, Parameter Estimation, Water Distribution

Licence