Professur für Optimization under Uncertainty & Data Analysis

Data-driven Optimization under Uncertainty for Power Networks (2024) Aigner KM Thesis Fleet & tail assignment under uncertainty (2024) Glomb L, Liers-Bergmann F, Rösel F Journal article, Original article Modellierung des Wärmesektors und dessen Flexibilität für Simulationen gekoppelter Energiesysteme (2024) Luna-Jaspe Roa N, Aigner KM, Kolb S, Karl J Conference contribution, Conference Contribution A digital twin to overcome long-time challenges in photovoltaics (2024) Lüer L, Peters IM, Smith AS, Dorschky E, Eskofier B, Liers-Bergmann F, Franke J, et al. Journal article Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization (2024) Kreuz S, Apeleo Zubiri B, Englisch S, Buwen M, Kang SG, Ramachandramoorthy R, Spiecker E, et al. Journal article Quality Control in Particle Precipitation via Robust Optimization (2024) Kuchlbauer M, Dienstbier J, Muneer A, Hedges H, Stingl M, Liers F, Pflug L Journal article, Original article Minimizing delays of patient transports with incomplete information: A modeling approach based on the Vehicle Routing Problem (2024) Adelhütte D, Braun K, Liers F, Tschuppik S Journal article On Carbon Tax Effectiveness in Inducing a Clean Technology Transition: An Evaluation Based on Optimal Strategic Capacity Planning (2023) Wolf N, Escalona P, López-Campos M, Angulo A, Weston J Journal article Data-driven Distributionally Robust Optimization over Time (2023) Aigner KM, Bärmann A, Braun K, Liers F, Pokutta S, Schneider O, Sharma K, Tschuppik S Journal article, Original article Multidimensional Fractionation of Particles (2023) Frank U, Dienstbier J, Tischer F, Wawra S, Gromotka L, Walter J, Liers-Bergmann F, Peukert W Journal article