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DTSTART:20170312T070000
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UID:69b2144e3e686
DTSTART;TZID=America/Toronto:20180116T093000
SEQUENCE:0
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-smart-meter-enabled-estimation
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2314 Waterloo ON N2L 3G1 Canada
SUMMARY:Master's Thesis Presentation: Smart-Meter Enabled Estimation and\nP
 rediction of Outdoor Residential Water Consumption
CLASS:PUBLIC
DESCRIPTION:Speaker: Valerie Platsko\, Master's Candidate\n\nSmart meter te
 chnology allows frequent measurements of water\nconsumption at a household
  level. This greater availability of data\nallows improved analysis of pat
 terns of residential water consumption\,\nwhich is important for demand ma
 nagement and targeting conservation\nefforts. The dataset in this thesis i
 ncludes 8\,000 single family\nresidences in Abbotsford\, British Columbia 
 from 2012 to 2013\, and\ncontains hourly measurements of water consumption
  recorded by smart\nmeters installed in 2010. This work focuses on identif
 ying outdoor\nconsumption due to its contribution to peak demand during th
 e summer\,\nwhich is important because of concerns about strain on infrast
 ructure\nin Abbotsford.
DTSTAMP:20260312T011806Z
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