BWFLnet + data

Published: 11 July 2020| Version 3 | DOI: 10.17632/srt4vr5k38.3
Contributors:
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Description

This dataset is supplementary data for: Waldron, A., Pecci, F., Stoianov, I. (2020). Regularization of an Inverse Problem for Parameter Estimation in Water Distribution Networks. Journal of Water Resources and Planning Management, 146(9):04020076 (https://doi.org/10.1061/(ASCE)WR.1943-5452.0001273). 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. BWFLnet is an operational network in Bristol, UK, operated by Bristol Water in collaboration with the InfraSense Labs at Imperial College London and Cla-Val Ltd. The data provided is a the product of a long term research partnership between Bristol Water, Infrasense Labs at Imperial College London and Cla-Val on the design and control of dynamically adaptive networks. 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 as well as broader research in the water distribution sector.

Files

Steps to reproduce

Read the associated paper: Waldron, A., Pecci, F., Stoianov, I. (2020). Regularization of an Inverse Problem for Parameter Estimation in Water Distribution Networks. Journal of Water Resources and Planning Management, 146(9):04020076 (https://doi.org/10.1061/(ASCE)WR.1943-5452.0001273).

Institutions

Imperial College London

Categories

Regularization (Machine Learning), Inverse Problem, Parameter Estimation, Water Distribution

Licence