Synthetic Datasets of Water Consumptions
Published: 8 February 2021| Version 2 | DOI: 10.17632/v4ynw83j6k.2
Contributors:
, , , Description
A group of 6 synthetic datasets is provided with a 914 days water consumption time horizon with structural breaks based on actual datasets from a hotel and hospital. The parameters of the best-fit probability distributions to the actual water consumption data were used to generate these datasets. The distributions used that best fit the datasets used were the gamma distribution for the hotel data set and the gamma and logistics distribution for the hospital dataset. Two structural breaks of 5% and 10% in the mean of the distributions were added to simulate reductions in water consumption patterns.
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Institutions
Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestao, Universidade do Minho - Campus de Azurem
Categories
Time Series Analysis, Change Detection, Water Consumption