An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity-Reference-Cited by-同舟云学术

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

Published:2023-07 Issue: Volume:94 Page:104516
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

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

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

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