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An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity

Hani Ghamkhar, Mohammadreza Jalili Ghazizadeh, Seyed Hossein Mohajeri, Iman Moslehi, Ehsan Yousefi-Khoshqalb

2023Sustainable Cities and Society32 citationsDOI

Topics & Concepts

DBSCANComputer scienceCluster analysisAnomaly detectionData miningUnsupervised learningCurse of dimensionalityKey (lock)OutlierMachine learningArtificial intelligenceFuzzy clusteringCURE data clustering algorithmComputer securityWater Systems and OptimizationWater resources management and optimizationWater-Energy-Food Nexus Studies
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity | Litcius