Édition
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2nd Edition
Session
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Winter 2021
Thématique
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Open Data And Urban Infrastructures
Predicting Water Consumption and Detecting Leakage
Résumé
Our project aims to predict the water consumption of a municipality as well as to determine potential leaks in the water distribution network. This type of model would be useful for municipalities in terms to repair assets prior to major breakages, and ensure that the water system is equipped to handle forecasted consumption demand.
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Une collaboration entre :
Ville de Montréal
Direction, technologies, architecture, innovation et sécurité
Experts municipaux
Marie-Odette St-Hilaire
Université
CIVI 691 – Big Data Analytics for Smart City Infrastructure (Building, Civil and Environmental Engineering), Concordia University
Professeur
Mazdak Nik-Bakht
Équipe étudiante
Alex Brisbois
Shayesteh Haghdan
Joe Young
Mohammad Amini