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

AbstractConsumer demand estimation is a key step in real-time drinking water system (DWS) modeling used for demand forecasting, optimal operations, and water quality management. Consumer nodes in a DWS are generally clustered to reduce the number of unknown demands to be estimated from a limited num...

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Veröffentlicht in:	Journal of water resources planning and management 2020-12, Vol.146 (12)
Hauptverfasser:	Rana, S. M. Masud, Boccelli, Dominic L, Marchi, Angela, Dandy, Graeme C
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computational fluid dynamics Consumer information Demand Drinking water Economic forecasting Fluid flow Hydraulics Measurement Nodes Quality management Real time Self organizing maps Sensitivity Sharpness Socioeconomic factors System dynamics Technical Papers Water distribution Water distribution systems Water engineering Water management Water quality Water quality management Water resources management
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