%0 Generic
%A Henriques da Silva, Renato
%A Schmidt, Alexandra M.
%A Duchesne, Sophie
%A Fortin St-Gelais, Nicolas
%D 2022
%T Data underlying the research on On-line warning system for pipe burst using Bayesian dynamic linear models
%U https://data.4tu.nl/articles/dataset/Data_underlying_the_research_on_On-line_warning_system_for_pipe_burst_using_Bayesian_dynamic_linear_models/17169383/2
%R 10.4121/17169383.v2
%K pipe break
%K water flow
%K dynamic linear model
%X The dataset contains the following items:<div><br></div><div>- dma1_flow.txt = hourly water flow (m3/h) for district meter area 1</div><div>- dma2_flow.txt = hourly water flow (m3/h) for district meter area 2</div><div>(rows are days, columns are the 24 hours)</div><div><br></div><div><div>- dma1_pressure.txt =  hourly pressure (psi) for district meter area 1</div><div>- dma2_pressure.txt = hourly pressure (psi) for district meter area 2</div></div><div>(rows are days, columns are the 24 hours)<br></div><div><br></div><div><div>- temperature.txt = hourly temperature (Celcius)</div><div>(rows are days, columns are the 24 hours)<br></div><div><br></div><div>- wk_dummy.txt = dummy variable indicating whether its a workday or a weekend</div><div>(rows are days, columns are the 2 dummy variables)<br></div><div><br></div><div>- dates : dates of the recordings</div><div>(rows are days)<br></div><div><br></div></div>
%I 4TU.ResearchData