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meter data. Procedia Eng 70(2014):1121–1130
42. García D, Gonzalez D, Quevedo J, Puig V, Saludes J (2015) Water demand estimation
and outlier detection from smart meter data using classification and Big Data methods.
In: Proceedings of 2nd IWA new developments in IT and water conference, Rotterdam,
February 2015
43. Mounce SR, Furnass WR, Goya E, Hawkins M, Boxall JB (2016) Clustering and classification
of aggregated smart meter data to better understand how demand patterns relate to customer
type, Proceedings of computing and control for the water industry (CCWI2016), Amsterdam,
Netherlands, 7th to 9th November 2016
26
S. R. Mounce