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Type: Artigo
Title: Hybrid SOM+k-Means clustering to improve planning, operation and management in water distribution systems
Author: Brentan, Bruno
Meirelles, Gustavo
Luvizotto Junior, Edevar
Izquierdo, Joaqun
Abstract: 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 every few minutes are no exception. Suitable techniques to evaluate available information and produce optimized responses are necessary for planning, operation, and management. This can help identify critical characteristics, such as leakage patterns, pipes to be replaced, and other features. This paper presents a clustering method based on self-organizing maps coupled with k-means algorithms to achieve groups that can be easily labeled and used for WDS decision-making. Three case-studies are presented, namely a classification of Brazilian cities in terms of their water utilities; district metered area creation to improve pressure control; and transient pressure signal analysis to identify burst pipes. In the three cases, this hybrid technique produces excellent results
Subject: Abastecimento de água
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.envsoft.2018.02.013
Date Issue: 2018
Appears in Collections:FEC - Artigos e Outros Documentos

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