Chapter
Apr 26, 2012
Inflow Forecasting for Real-Time Reservoir Operation Using Artificial Neural Network
Authors: Taesoon Kim [email protected]), Gian Choi [email protected]), and Jun-Haeng Heo [email protected])Author Affiliations
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
Abstract
Artificial neural network (ANN) is used for inflow forecasting of reservoir up to the next 12 hours. Numerical weather forecasting information (RDAPS), recorded rainfall data, water level of upstream dam and stream gauge site, and inflow of the current time are employed as input layer's training values, and target value is +3, +6, +9, and +12 hours later inflow to Hwacheon reservoir in South Korea. Comparison result between ANN with RDAPS and without RDAPS shows that RDAPS information is useful for forecasting inflow of reservoir.
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Information & Authors
Information
Published In
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 9
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Climates
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Environmental engineering
- Forecasting
- Hydraulic engineering
- Hydraulic structures
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Inflow
- Mathematics
- Meteorology
- Methodology (by type)
- Neural networks
- Numerical methods
- Rain water
- Reservoirs
- River engineering
- Rivers and streams
- Statistics
- Water (by type)
- Water and water resources
- Water management
- Weather forecasting
Authors
Affiliations
Research Professor, School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, South Korea (. E-mail: [email protected])
Graduate student, School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, South Korea (. E-mail: [email protected])
Professor, School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, South Korea (. E-mail: [email protected])
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