VeranstaltungsortN.2.01Veranstalter Institut für StatistikBeschreibungWe are concerned with optimal control strategies subject to uncertain demands.Taking uncertainty into account becomes more and more importantin many areas. In the context of the energy transition in Germany, a need forcontrol strategies taking these uncertainties into account naturally arises.Deviations from the demand actually realized need to be compensated,which might be very costly and should be avoided. To this end, we considerdifferent approaches to control the amount of gas withdrawn from anetwork at a given time to meet an uncertain power demand stream in anoptimal way. To enhance supply reliability, we require demand satisfactionat a prescribed probability level, mathematically formulated in terms of achance constraint. The stochastic optimal control framework has been setup in . The gas flow trough the pipelines is modeled by the isentropicEuler equations and the Ornstein-Uhlenbeck process is used to model the uncertaindemand. Acknowledgments The authors are grateful for the supportof the German Research Foundation (DFG) within the project “Novel modelsand control for networked problems: from discrete event to continuousdynamics” (GO1920/4-1).Vortragende(r)Kerstin Lux (Universität Mannheim)KontaktSimone Gahleitner (simone.gahleitner@aau.at)

VeranstaltungsortHS 5Veranstalter Universitätszentrum für Frauen- und Geschlechterstudien (UZFG)BeschreibungVortragende(r)Martin Gabriel (Geschichte, AAU)Kontaktmaria mucke (maria.mucke@aau.at)