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Stochastic Programming Models for Strategic Planning: An Application to Electric Utilities

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dc.creator Bienstock, Daniel
dc.creator Shapiro, Jeremy F., 1939-
dc.date 2004-05-28T19:26:52Z
dc.date 2004-05-28T19:26:52Z
dc.date 1984-05
dc.date.accessioned 2013-10-09T02:38:11Z
dc.date.available 2013-10-09T02:38:11Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5182
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This paper reports on the application of stochastic programming with recourse models to strategic planning problems typical of those faced by an electric utility. A prototype model was constructed using realistic data, and optimized using Benders' decomposition method. The decomposition treats simultaneously stochastic programming and mixed integer programming structures arising naturally in strategicplanning models.
dc.description Revised January 1985
dc.format 1215606 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 128-84
dc.title Stochastic Programming Models for Strategic Planning: An Application to Electric Utilities
dc.type Working Paper


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