Medium-term urban water demand forecasting with limited data using an ensemble wavelet-bootstrap machine-learning approach

Journal of Water Resources Planning and Management

Volumn 141, Issue 2, 2015, Pages

  Tiwari, Mukesh K ^a   Adamowski, Jan F ^b  

^a ANAND AGRICULTURAL UNIVERSITY   (India)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Artificial neural networks; Canada; Ensemble; Forecasting; Resampling; Water demand; Wavelets

Indexed keywords

LEARNING SYSTEMS; NEURAL NETWORKS; RELIABILITY ANALYSIS; STATISTICAL METHODS; UNCERTAINTY ANALYSIS; WATER SUPPLY;

CANADA; ENSEMBLE; RESAMPLING; WATER DEMAND; WAVELETS;

FORECASTING;

ARTIFICIAL NEURAL NETWORK; BOOTSTRAPPING; DEMAND ANALYSIS; ENSEMBLE FORECASTING; PERFORMANCE ASSESSMENT; PLANNING METHOD; WATER RESOURCE; WAVELET;

ALBERTA; CALGARY; CANADA;

EID: 84921450840     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000454     Document Type: Article

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