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

Keyphrases

• Clustering Approach 33%
• Clustering Methodology 33%
• Clustering Problem 33%
• Consumer Demand 66%
• Consumer Information 33%
• Demand Estimates 66%
• Demand Estimation 100%
• Demand Forecasting 33%
• Drinking Water Distribution System 100%
• Exogenous Data 66%
• Hydraulics 100%
• Information Data 33%
• Intuitive Visualization 33%
• Location Sensitivity 33%
• Measurement Location 66%
• Measurement Sensitivity 33%
• Network Clustering 100%
• Node-based Approach 33%
• Number of Clusters 33%
• Number of Measurements 33%
• Observed Information 33%
• Operation Quality 33%
• Optimal Operation 33%
• Overall System 33%
• Real-time Demands 100%
• Self-organizing Map 100%
• Self-organizing Map Algorithm 66%
• Sensitivity Information 33%
• Sensitivity Method 33%
• Socio-economic Information 33%
• Specific Information 33%
• System Dynamics 33%
• Systems Network 100%
• Uncertainty Estimation 33%
• Unknown Demand 33%
• Visual Clues 33%
• Water Quality Management 33%
• Water Systems Modelling 33%

Engineering

• Clustering Problem 20%
• Demand Forecasting 20%
• Hydraulics 60%
• Limited Number 20%
• Measurement Location 40%
• Nodes 40%
• Self-Organizing Map 100%
• Systems Dynamics 20%
• Water Distribution System 100%

Chemical Engineering

• Drinking Water Distribution System 100%