Neural Network Based Decision Support Model for Optimal Reservoir Operation

V. Chandramouli () and Paresh Deka

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2005, vol. 19, issue 4, 447-464

Abstract: A decision support model (DSM) has been developed using the artificial neural networks (ANN) for optimal operation of a reservoir in south India. The DSM developed is a combination of a rule based expert system and ANN models, which are trained using the results from deterministic single reservoir optimisation algorithm. The developed DSM is also flexible to use multiple linear regression equations instead of trained neural network models for different time periods. A new approach is tried with the DSM based on trained neural network models, which use real time data of previous time periods for deciding operating policies. The developed DSM based on ANN outperforms the regression based approach. Copyright Springer Science + Business Media, Inc. 2005

Keywords: decision support system; dynamic programming; neural network; optimization; reservoir operation (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (17)

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DOI: 10.1007/s11269-005-3276-2

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