Show simple item record

dc.contributor.authorBienstock, Danielen_US
dc.contributor.authorShapiro, Jeremy F., 1939-en_US
dc.date.accessioned2004-05-28T19:26:52Z
dc.date.available2004-05-28T19:26:52Z
dc.date.issued1984-05en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5182
dc.descriptionRevised January 1985en_US
dc.description.abstractThis 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.en_US
dc.format.extent1215606 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology, Operations Research Centeren_US
dc.relation.ispartofseriesOperations Research Center Working Paper;OR 128-84en_US
dc.titleStochastic Programming Models for Strategic Planning: An Application to Electric Utilitiesen_US
dc.typeWorking Paperen_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record