Inferring Demand in Drinking Water Distribution Systems through Stratified Sampling of Billing Data for Smart Meter Installation-Reference-Cited by-同舟云学术

Inferring Demand in Drinking Water Distribution Systems through Stratified Sampling of Billing Data for Smart Meter Installation

Published:2024-08 Issue:8 Volume:150 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Almeida Silva Maria¹^ORCID,Amado Conceiçāo²^ORCID,Loureiro Dália³

Affiliation:

1. Assistant Professor, Dept. of Computer Engineering and Information Systems (DEISI) and Association for Research and Development in Cognition and People-centric Computing (COPELABS), Lusófona Univ., Campo Grande, 376, Lisboa 1749-024, Portugal; Researcher, Computational and Stochastic Mathematics, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa 1049-001, Portugal (corresponding author). ORCID: .

2. Associate Professor, Dept. of Mathematics and Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa 1049-001, Portugal. ORCID:

3. Assistant Researcher, Urban Water Unit, National Laboratory for Civil Engineering, Av. do Brasil 101, Lisboa 1700-066, Portugal.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JWRMD5.WRENG-6404

Reference39 articles.

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2. Alvisi S. M. Franchini and C. Luciani. 2018. “Application of water consumption smart metering for water loss assessment: A case study.” In Proc. WDSA/CCWI Joint Conf. Proc. Ferrara Italy: Water Distribution System Analysis and Computing and Control in the Water Industry.

3. An extensive comparative study of cluster validity indices

4. Arena C. A. Criminisi A. Fortunato and M. R. Mazzola. 2009. “Sampling of residential water use for leak control via water budgets.” In Proc. World Environmental and Water Resources Congress 2009: Great Rivers 1–10. Reston VA: ASCE.

5. Arregui, F. 2016. Customer metering inaccuracies (Appendix 3). Paola, Malta: Malta College of Arts, Science and Technology.