Long term infrastructure investments under uncertainty in the electric power sector using approximate dynamic programming techniques

Long term infrastructure investments under uncertainty in the electric power sector using approximate dynamic programming techniques

Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.

Bibliographic Details
Main Author: Seelhof, Michael
Other Authors: Mort Webster.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Engineering Systems Division.
System Design and Management Program.
Online Access:http://hdl.handle.net/1721.1/90724

Internet

http://hdl.handle.net/1721.1/90724

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