A Demand Driven Decision Support System for Operation of Reservoirs

by Haralambos V. Vasiliadis, Rutgers Univ, Piscataway, United States,
Mohammad Karamouz, Rutgers Univ, Piscataway, United States,

Document Type: Proceeding Paper

Part of: Water Resources Planning and Management: Saving a Threatened Resource—In Search of Solutions


In this paper a stochastic optimization model, called Demand Driven Stochastic Dynamic Programming (DDSP) is developed and is compared with a Bayesian Stochastic Dynamic Programming (BSDP). The DDSP is an improved and expanded version of the BSDP which was developed by the same authors. The operating policies generated by the DDSP are simulated in a real time operation of a reservoir. The results of the simulation are compared with these obtained by the BSDP model.

Subject Headings: Decision support systems | Reservoirs | Computer programming | Simulation models | Optimization models | Stochastic processes | Bayesian analysis | Professional societies

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