Drinking Water Distribution System Network Clustering Using Self-Organizing Map for Real-Time Demand Estimation-Reference-Cited by-同舟云学术

Drinking Water Distribution System Network Clustering Using Self-Organizing Map for Real-Time Demand Estimation

Published:2020-12 Issue:12 Volume:146 Page:04020090
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Rana S. M. Masud¹^ORCID,Boccelli Dominic L.²,Marchi Angela³,Dandy Graeme C.⁴

Affiliation:

1. Ph.D. Candidate, Environmetal Engineering Program, Dept. of Chemical and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221 (corresponding author). ORCID: .

2. Professor, Dept. of Civil and Architectural Engineering and Mechanics, Univ. of Arizona, Tucson, AZ 85721.

3. Lecturer, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

4. Emeritus Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001289

Reference49 articles.

1. Improve credit scoring using transfer of learned knowledge from self-organizing map

2. Identification and Control of Dynamical Systems Using the Self-Organizing Map

3. Simultaneous Zonation and Calibration of Pipe Network Parameters

4. Hybrid SOM+k-Means clustering to improve planning, operation and management in water distribution systems

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