Identifying Prominent Explanatory Variables for Water Demand Prediction Using Artificial Neural Networks: A Case Study of Bangkok

Water Resources Management

Volumn 25, Issue 6, 2011, Pages 1653-1676

  Babel, Mukand Singh ^a   Shinde, Victor R ^a  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

Artificial neural networks; Bangkok; Explanatory variables; Prediction accuracy; Sensitivity analysis; Water demand prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BANGKOK; EXPLANATORY VARIABLES; PREDICTION ACCURACY; WATER DEMAND PREDICTION;

CLIMATE CHANGE; ELECTRIC UTILITIES; FORECASTING; SENSITIVITY ANALYSIS; WATER RESOURCES; WATER SUPPLY;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; PREDICTION; SENSITIVITY ANALYSIS; WATER DEMAND; WATER MANAGEMENT; WATER RESOURCE;

BANGKOK; CENTRAL REGION [THAILAND]; KRUNG THEP MAHANAKHON; THAILAND;

EID: 79952708249     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-010-9766-x     Document Type: Article

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