2011 · 36 citations · 10 references
Natural SciencesDecision SciencesMathematicsOptimizationStochastic ProcessesStorage SystemsContinuous OptimizationDynamic ProgrammingOptimization Under UncertaintyStochastic ControlStochastic OptimizationStochastic ProgrammingApproximate Dynamic ProgrammingContinuous-time Dynamic ProgrammingContinuous-time OptimizationConvex SetsState VariablesStochastic Dynamic OptimizationStochastic Dynamic ProgrammingStochastic Optimal Control
Storage problems are an important subclass of stochastic control problems. This paper presents a new method, approximate dynamic programming for storage, to solve storage problems with continuous, convex decision sets. Unlike other solution procedures, ADPS allows math programming to be used to make decisions each time period, even in the presence of large state variables. We test ADPS on the day ahead wind commitment problem with storage. 1.
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A Bayesian Analysis of Some Nonparametric Problems
Thomas S. Ferguson · The Annals of Statistics · 1973 · 4.8K citations · Full text