| dc.contributor.author | Bienstock, Daniel | en_US |
| dc.contributor.author | Shapiro, Jeremy F., 1939- | en_US |
| dc.date.accessioned | 2004-05-28T19:26:52Z | |
| dc.date.available | 2004-05-28T19:26:52Z | |
| dc.date.issued | 1984-05 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/5182 | |
| dc.description | Revised January 1985 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.format.extent | 1215606 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Massachusetts Institute of Technology, Operations Research Center | en_US |
| dc.relation.ispartofseries | Operations Research Center Working Paper;OR 128-84 | en_US |
| dc.title | Stochastic Programming Models for Strategic Planning: An Application to Electric Utilities | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Operations Research Center | |