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Research Areas

  • Stochastic Optimization / Stochastic Programming
  • Power Systems Modeling and Optimization
  • Decomposition Methods
  • Large-scale Optimization
  • Global Optimization
  • Mixed-Integer (Non-)Linear Optimization / Mixed-Integer (Non-)Linear Programming
  • Calculation of Piecewise Linear Functions

Publications (selection):

  • Timo Lohmann and Steffen Rebennack, "Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response", Management Science, 63(6):2027-2048, 2017
  • Gregory Steeger and Steffen Rebennack, "Dynamic Convexification within Nested Benders Decomposition using Lagrangian Relaxation: An Application to the Strategic Bidding Problem", European Journal of Operational Research, 257(2):669-686, 2017
  • Steffen Rebennack, "Combining Sampling-based and Scenario-based Nested Benders Decomposition Methods: Application to Stochastic Dual Dynamic Programming", Mathematical Programming, 156(1):343-389, 2016
  • Steffen Rebennack, "Computing Tight Bounds via Piecewise Linear Functions through the Example of Circle Cutting Problems", Mathematical Methods of Operations Research, 84(1):3-57, 2016
  • Timo Lohmann, Amanda S. Hering, and Steffen Rebennack, "Spatio-Temporal Hydro Forecasting of Multireservoir Inflows for Hydro-Thermal Scheduling", European Journal of Operational Research, 255(1):243-258, 2016
  • Stephen M. Frank and Steffen Rebennack, "Optimal Design of Mixed AC-DC Distribution Systems for Commercial Buildings: A Nonconvex Generalized Benders Decomposition Approach", European Journal of Operational Research, 242(3):710-729, 2015
  • Steffen Rebennack, "Generation Expansion Planning under Uncertainty with Emissions Quotas", Electric Power Systems Research, 114:78-85, 2014

 

A complete list of publications can be found here.