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DTSTART:20180311T070000
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DTSTART;TZID=America/Toronto:20180913T133000
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URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-artificial-intelligence-1
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Artificial Intelligence —\nPre
 dicting Short-Term Water Consumption for Multi-Family Residences
CLASS:PUBLIC
DESCRIPTION:IRISH MEDINA\, MASTER’S CANDIDATE\n_David R. Cheriton School 
 of Computer Science_\n\nSmart water meters have been installed across Abbo
 tsford\, British\nColumbia\, Canada\, to measure the water consumption of 
 households in\nthe area. Using this water consumption data\, we develop ma
 chine\nlearning and deep learning models to predict daily water consumptio
 n\nfor existing multi-family residences. We also present a new\nmethodolog
 y for predicting the water consumption of new housing\ndevelopments. 
DTSTAMP:20260415T083407Z
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