Generating Scenario Trees for Hydro Inflows

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Abstract


The operation planning of a hydroelectric sysstem, requires some random variables to be represented in a form suitable for quantitative models. Stochastic programming models require a scenario tree to be developed. In this paper a procedure to generate a scenario tree representing the time evolution of natural inflows in a hydroelectric system is presented. The procedure involves non-linear programming, linear regression techniques and deviation variables.
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Keywords

Instituto de Investigación Tecnológica (IIT), Stochastic programming, scenario tree, linear regression, non-linear programming, deviation variables.