10.17632/SRT4VR5K38.3
Waldron, Alexander
Alexander
Waldron
BWFLnet + data
Mendeley
2020
Dataset
Regularization (Machine Learning)
Inverse Problem
Parameter Estimation
Water Distribution
Pecci, Filippo
Filippo
Pecci
Stoianov, Ivan
Ivan
Stoianov
2020-07-11
10.17632/srt4vr5k38
Creative Commons Attribution 4.0 International
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.