[CCoE Notice] PhD Dissertation Defense

[Khator, Suresh]

Nonlinear Optimization under Uncertainty
for Sustainable Energy Informatics Problems

Mohammad H. Poursaeidi
Friday, February 15th, 2013, 10:00 A.M.
Industrial Engineering Conference Room (E214), Engineering Bldg 2

Committee Members: Dr. Erhun Kundakcioglu, Dr. Qianmei Feng, Dr. Bora Gencturk, Dr. Gino Lim and Dr. Shishir Shah
Abstract
Sustainable energy has less environmental impact yet has a tremendous potential to meet consumers' demand. In 2010, United States invested nearly $243 billion on developing sustainable energy technologies. The analysis, design, implementation, and use of computer science models for developing appropriate management plans that increase the energy efficiency while protecting the environment are referred to as sustainable energy informatics.
In this dissertation, three optimization and data mining approaches are proposed that are to be used in sustainable energy applications. These problems deal with analyzing data under uncertainty to make a robust and reliable decision.


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