Steffen Rebennack
Affiliations: | Economics and Business | Colorado School of Mines, Golden, CO, United States |
Area:
Operations Research, Theory Economics, Alternative Energy, Environmental EconomicsGoogle:
"Steffen Rebennack"Children
Sign in to add trainee| Gregory M. Steeger | grad student | 2014 | Colorado School of Mines |
| Timo Lohmann | grad student | 2015 | Colorado School of Mines |
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Publications
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| Lohmann T, Bussieck MR, Westermann L, et al. (2020) High-Performance Prototyping of Decomposition Methods in GAMS Informs Journal On Computing. 2019 |
| Rebennack S, Krasko V. (2020) Piecewise Linear Function Fitting via Mixed-Integer Linear Programming Informs Journal On Computing. 32: 507-530 |
| Rebennack S, Prokopyev OA, Singh B. (2020) Two‐stage stochastic minimum s − t cut problems: Formulations, complexity and decomposition algorithms Networks. 75: 235-258 |
| Lohmann T, Rebennack S. (2017) Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response Management Science. 63: 2027-2048 |
| Krasko V, Rebennack S. (2017) Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management: Mitigation and emergency evacuation European Journal of Operational Research. 263: 265-282 |
| Steeger G, Rebennack S. (2017) Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: An application to the strategic bidding problem European Journal of Operational Research. 257: 669-686 |
| Frank S, Rebennack S. (2016) An introduction to optimal power flow: Theory, formulation, and examples Iie Transactions (Institute of Industrial Engineers). 1-26 |
| McCoy K, Krasko V, Santi P, et al. (2016) Minimizing economic impacts from post-fire debris flows in the western United States Natural Hazards. 1-28 |
| Rebennack S. (2016) Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming Mathematical Programming. 156: 343-389 |
| Rebennack S. (2016) Computing tight bounds via piecewise linear functions through the example of circle cutting problems Mathematical Methods of Operations Research. 84: 3-57 |