The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/17169383

Henriques da Silva, Renato; Schmidt, Alexandra M.; Duchesne, Sophie; Fortin St-Gelais, Nicolas (2022): Data underlying the research on On-line warning system for pipe burst using Bayesian dynamic linear models. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/17169383.v3

Dataset

x choose version: version 2 - 2022-04-12 version 1 - 2022-04-04

• Water and Waste Services
• Other Engineering

dynamic linear model, pipe break, water flow

2015-01-01 to 2016-12-31

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Renato Henriques da Silva, Alexandra M. Schmidt, Sophie Duchesne, Nicolas Fortin St-Gelais

The dataset contains the following items:

- dma1_flow.txt = hourly water flow (m3/h) for district meter area 1

(rows are days, columns are the 24 hours)

- dma1_pressure.txt = hourly pressure (psi) for district meter area 1

(rows are days, columns are the 24 hours)

- temperature.txt = hourly temperature (Celcius)

(rows are days, columns are the 24 hours)

- wk_dummy.txt = dummy variable indicating whether its a workday or a weekend

(rows are days, columns are the 2 dummy variables)

- dates : dates of the recordings

(rows are days)

dlm_script.R : a R script to run the dynamic linear model with the example dataset.

• 2022-04-04 first online

• 2022-09-15 published, posted

4TU.ResearchData

txt, R-script

• Mitacs IT15343

Halifax Water