Predictive models for forecasting hourly urban water demand

Journal of Hydrology

Volumn 387, Issue 1-2, 2010, Pages 141-150

  Herrera, Manuel ^a   Torgo, Luís ^b   Izquierdo, Joaquín ^a   Pérez García, Rafael ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Machine learning algorithms; Monte Carlo simulations; Non linear time series; Predictive regression models; Urban water demand

Indexed keywords

MACHINE LEARNING ALGORITHMS; MONTE CARLO SIMULATION; NONLINEAR TIME SERIES; REGRESSION MODEL; URBAN WATERS;

COMPUTER SIMULATION; DECISION TREES; FORECASTING; HYDRAULIC MACHINERY; LEARNING SYSTEMS; MONTE CARLO METHODS; NETWORK MANAGEMENT; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS; TIME SERIES; TIME SERIES ANALYSIS; WATER MANAGEMENT; WATER SUPPLY;

LEARNING ALGORITHMS;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; FORECASTING METHOD; MODEL TEST; MONTE CARLO ANALYSIS; NUMERICAL MODEL; REGRESSION ANALYSIS; TIME SERIES; URBAN REGION; WATER DEMAND; WATER MANAGEMENT; WATER SUPPLY;

SPAIN;

EID: 78549256372     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.04.005     Document Type: Article

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