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Forschungsgebiete

  • Stochastische Optimierung/Stochastische Programmierung
  • Modellierung und Optimierung von Energieproblemen
  • Dekompositionsverfahren
  • Large-scale Optimierung
  • Globale Optimierung
  • Gemischt-Ganzzahlige (Nicht-)Lineare Optimierung / Gemischt-Ganzzahlige (Nicht-)Lineare Programmierung
  • Berechnung stückweise-linearer Funktionen

 

Publikationen (Auszug):

  • Timo Lohmann und 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 und 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, und 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 und 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

 

Die komplette Liste der Veröffentlichungen finden Sie hier.