Using Forecasts to Improve Reservoir Operations

by Jery R. Stedinger, Cornell Univ, Ithaca, United States,
Mohammed Karamouz, Cornell Univ, Ithaca, United States,
Brian McCrodden, Cornell Univ, Ithaca, United States,
George McMahon, Cornell Univ, Ithaca, United States,
Richard Palmer, Cornell Univ, Ithaca, United States,
Juan Valdés, Cornell Univ, Ithaca, United States,



Document Type: Proceeding Paper

Part of: Water Management in the '90s: A Time for Innovation

Abstract: This review considers methodologies that have or can be employed to incorporate streamflow forecasts into reservoir policies and operating decisions. These include the use of streamflow forecasts in deterministic optimization models, use of multiple stage decision trees, stochastic analytical optimization models with linearized reservoir dynamics, and sophisticated stochastic models that can describe the joint distribution of streamflows and forecasts in the optimization of reservoir operations.

Subject Headings: Optimization models | Reservoirs | Forecasting | Streamflow | Hydrologic models | Structural models | Stochastic processes | Management methods

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