most citedDynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data

18 citations

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1 paper

cs.LG2021★ 18 cited

Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data

D. B. Steffelbauer, E. J. M. Blokker, S. G. Buchberger +2

Socio-economic characteristics are influencing the temporal and spatial variability of water demand - the biggest source of uncertainties within water distribution system modeling.…