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Hybrid SOM+k-Means Clustering to Improve Planning, Operation and Management in Water Distribution Systems

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Hybrid SOM+k-Means Clustering to Improve Planning, Operation and Management in Water Distribution Systems

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Brentan, BM.; Meirelles, G.; Luvizotto, E.; Izquierdo Sebastián, J. (2018). Hybrid SOM+k-Means Clustering to Improve Planning, Operation and Management in Water Distribution Systems. Environmental Modelling & Software. 106:77-88. https://doi.org/10.1016/j.envsoft.2018.02.013

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/120366

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Title: Hybrid SOM+k-Means Clustering to Improve Planning, Operation and Management in Water Distribution Systems
Author: Brentan, Bruno M. Meirelles, G. Luvizotto, E. Izquierdo Sebastián, Joaquín
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] With the advance of new technologies and emergence of the concept of the smart city, there has been a dramatic increase in available information. Water distribution systems (WDSs) in which databases can be updated ...[+]
Subjects: Water supply systems , Classification , Self-organized maps , K-means clustering
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Environmental Modelling & Software. (issn: 1364-8152 )
DOI: 10.1016/j.envsoft.2018.02.013
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.envsoft.2018.02.013
Thanks:
This work is partially supported by Capes and CNPq, Brazilian research agencies. The use of English was revised by John Rawlins.
Type: Artículo

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