REI Energy Policy Series: Data Driven Analysis and Retrospective Optimization for Energy and Resources Systems
Friday, September 29, 2017, 10:45am
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Speaker Honggang Wang, Assistant Professor, Industrial and Systems Engineering, Rutgers University

Abstract:  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.

Location Rutgers, Cook, DMCS, Alampi Room
REI Energy Policy Seminar