Weighted spectral clustering for water distribution network partitioning

Weighted spectral clustering for water distribution network partitioning

Abstract In order to improve the management and to better locate water losses, Water Distribution Networks can be physically divided into District Meter Areas (DMAs), inserting hydraulic devices on proper pipes and thus simplifying the control of water budget and pressure regime. Traditionally, the...

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Bibliographic Details
Main Authors: Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco, Giovanni Francesco Santonastaso
Format: Article
Language:English
Published: Springer 2017-06-01
Series:Applied Network Science
Subjects:
Laplacian spectrum
Spectral clustering
k-means
Water network partitioning
Online Access:http://link.springer.com/article/10.1007/s41109-017-0033-4

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http://link.springer.com/article/10.1007/s41109-017-0033-4

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