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REI Energy Policy Seminar Series: Data Driven Analysis and Retrospective Optimization for Energy and Resources Systems

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Synopsis: The REI will begin its Fall Energy Policy Seminar Series by hosting Dr. Honggang Wang, Assistant Professor, Industrial and Systems Engineering, Rutgers. Talk will be on " Data Driven Analysis and Retrospective Optimization for Energy and Resources Systems ".
Start Time: Friday, September 29, 2017 10:45 AM
End Time: Friday, September 29, 2017 11:45 AM
Location: Marine Sciences Building
Address: 71 Dudley Road
Campus: George H. Cook
Room: Alampi Room
City, State, Country: New Brunswick, NJ US
Fee: N/A
Speaker: Honggang Wang, Assistant Professor, Industrial and Systems Engineering, Rutgers
Sponsor: Rutgers Energy Institute
Category: Talk, Lecture, Seminar
Web Site: http://rei.rutgers.edu
Contact Name: Beatrice Birrer
Contact Email: bea@marine.rutgers.edu
Contact Phone: (848) 932-3436
Additional Information: I will first present R-SPLINE (Retrospective Optimization using Simplex Linear Interpolation and Neighborhood Evaluation) for decision making problems associated with complex stochastic systems. R-SPLINE is an optimization framework with sequential sample-average (data-driven) approximations and guarantees almost-sure convergence under certain conditions. R-SPLINE has been extended for other simulation optimization problems with mixed integer variables and categorical variables. I will also talk about new ideas in multi-objective optimization using ZIGZAG search for multi-criteria decision making under systems uncertainty. I will present numerical studies applying R-SPLINE and ZIGZAG to application problems in oil/gas field development, carbon sequestration, smart grid, and sustainable energy systems. Numerical results based on the studied cases demonstrate the efficiency of the discussed R-SPLINE and ZIGZAG algorithms.