TY - DATA
T1 - Data underlying the research on On-line warning system for pipe burst using Bayesian dynamic linear models
PY - 2022/04/12
AU - Renato Henriques da Silva
AU - Alexandra M. Schmidt
AU - Sophie Duchesne
AU - Nicolas Fortin St-Gelais
UR - 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
DO - 10.4121/17169383.v2
KW - pipe break
KW - water flow
KW - dynamic linear model
N2 - 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>
ER -