Data-Driven Leak Localization in Urban Water Distribution Networks Using Big Data for Random Forest Classifier

Data-Driven Leak Localization in Urban Water Distribution Networks Using Big Data for Random Forest Classifier

In the present paper, a Random Forest classifier is used to detect leak locations on two different sized water distribution networks with sparse sensor placement. A great number of leak scenarios were simulated with Monte Carlo determined leak parameters (leak location and emitter coefficient). In o...

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Bibliographic Details
Main Authors: Ivana Lučin, Bože Lučin, Zoran Čarija, Ante Sikirica
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
leak localization
water distribution network
random forest
prediction modeling
big data
Online Access:https://www.mdpi.com/2227-7390/9/6/672

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https://www.mdpi.com/2227-7390/9/6/672

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