A robust multi-objective statistical improvement approach to electric power portfolio selection
Motivated by an electric power portfolio selection problem, a sampling method is developed for simulation-based robust design that builds on existing multi-objective statistical improvement methods. It uses a Bayesian surrogate model regressed on both design and noise variables, and makes use of met...
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Georgia Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1853/45946 |