Abstract
A model for long range and real time reservoir operations is developed, considering the medium and long range weather forecast provided by the meteorological agency. The reasoning employed by the reservoir operator to make the appropriate decision on the reservoir operations, in the presence of uncertainty and inevitable errors in the forecast, is modeled through a rule-based scheme. A fuzzy inference procedure is used to evaluate the rules and produce the control output.
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References
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© 1994 Springer Science+Business Media Dordrecht
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Ikebuchi, S., Kojiri, T., Tomosugi, K., Galvão, C. (1994). Knowledge-Based System for Reservoir Operation during Low Flows Utilizing Weather Forecast Information. In: Hipel, K.W., Fang, L. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/2. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3081-5_22
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DOI: https://doi.org/10.1007/978-94-017-3081-5_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4380-1
Online ISBN: 978-94-017-3081-5
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