Real-time demand estimation and confidence limit analysis for water distribution systems

Journal of Hydraulic Engineering

Volumn 135, Issue 10, 2009, Pages 825-837

  Kang, Doosun ^a   Lansey, Kevin ^a  

^a University of Arizona   (United States)

Author keywords

Estimation; Least squares method; Limit analysis; Uncertainty principles; Water distribution systems

Indexed keywords

APPROXIMATE METHODS; CHLORINE CONCENTRATION; CONFIDENCE LIMIT; CUSTOMER SERVICES; DEGREE OF CONFIDENCE; DEMAND ESTIMATION; FIELD MEASUREMENT; FIRST ORDER SECOND MOMENT; LATIN HYPERCUBE SAMPLING; LEAST SQUARES METHOD; LIMIT ANALYSIS; MEASUREMENT DATA SETS; MONTE CARLO SIMULATION; NODAL DEMANDS; NODAL PRESSURES; PRESSURE HEADS; REAL NETWORKS; REAL-TIME ESTIMATION; STATE ESTIMATORS; STATE VARIABLES; SUPERVISORY CONTROL AND DATA ACQUISITION SYSTEMS; UNCERTAINTY PRINCIPLES; UNCERTAINTY QUANTIFICATIONS; WATER DISTRIBUTIONS; WEIGHTED LEAST SQUARES;

CHLORINE; COMPUTER SIMULATION; CONTROL THEORY; ELECTRIC MEASURING INSTRUMENTS; LEAD; LOCAL AREA NETWORKS; METHOD OF MOMENTS; MONTE CARLO METHODS; REAL TIME SYSTEMS; SCADA SYSTEMS; WATER ANALYSIS; WATER DISTRIBUTION SYSTEMS; WATER POLLUTION; WATER QUALITY; WATER SUPPLY;

UNCERTAINTY ANALYSIS;

DEMAND ANALYSIS; KALMAN FILTER; LEAST SQUARES METHOD; LIMIT ANALYSIS; MONTE CARLO ANALYSIS; NETWORK ANALYSIS; UNCERTAINTY ANALYSIS; WATER SUPPLY;

EID: 70349524903     PISSN: 07339429     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HY.1943-7900.0000086     Document Type: Article

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