Stochastic Programming Models for Strategic Planning: An Application to Electric Utilities
Name
OR-128-84-.pdf
Size
1.16 MB
Format
Adobe PDF
Checksum (MD5)
85b5b8fe75b25b8541c1429885427af3
Author(s)
Bienstock, Daniel
Shapiro, Jeremy F., 1939-
Date Issued
May 1984
Publisher
Massachusetts Institute of Technology, Operations Research Center
Series/Report no.
Operations Research Center Working Paper;OR 128-84
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.
Description
Revised January 1985
MIT Department
Massachusetts Institute of Technology. Operations Research Center
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