Application of short-term water demand prediction model to Seoul

Water Science and Technology

Volumn 46, Issue 6-7, 2002, Pages 255-261

  Joo, C N ^a   Koo, J Y ^a   Yu, M J ^a  

^a University of Seoul   (South Korea)

Author keywords

Artificial neural network; Cross correlation; Multiple regression; Short term water demand

Indexed keywords

ATMOSPHERIC HUMIDITY; SOCIAL ASPECTS; TIME SERIES ANALYSIS; WIND;

WATER DEMANDS;

NEURAL NETWORKS;

WATER;

FORECASTING; NEURAL NETWORK; URBAN AREA; WATER DEMAND; WATER SUPPLY;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; PLANNING METHOD; URBAN AREA; WATER DEMAND; WATER SUPPLY;

ACCURACY; ARTIFICIAL NEURAL NETWORK; CITY; COMPARATIVE STUDY; CONFERENCE PAPER; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; GEOGRAPHIC INFORMATION SYSTEM; HUMIDITY; LEISURE; MODEL; MULTIPLE REGRESSION; PREDICTION; RESOURCE MANAGEMENT; SAFETY; SEASONAL VARIATION; SOCIAL ASPECT; SOUTH KOREA; TEMPERATURE; TIME; WATER AVAILABILITY; WATER QUALITY; WATER SUPPLY; WATER TREATMENT; WIND;

SEOUL; SOUTH KOREA;

EID: 0036384659     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2002.0687     Document Type: Conference Paper

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