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Publikationen

Variability of running coordination in experts and novices: A 3D uncontrolled manifold analysis [in press].
Möhler, F.; Marahrens, S.; Ringhof, S.; Mikut, R.; Stein, T.
2020. European journal of sport science. doi:10.1080/17461391.2019.1709561
The Near-Optimal Feasible Space of a Renewable Power System Model.
Neumann, F.; Brown, T.
2020. 21st Power Systems Computation Conference, Porto, P, June 29 - July 03, 2020 (PSCC 2020)
Python for Power System Analysis (PyPSA) Version 0.16.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.
2020, Januar 10. doi:10.5281/zenodo.3604277
A note on efficient computation of privileged directions in modifier adaptation.
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2020. Computers & chemical engineering, 132, Article No.106524. doi:10.1016/j.compchemeng.2019.106524
Modular Simulation Model for Falling Film Evaporators with Novel Approach to Manage Dominant Time-varying Transport Delays.
Schwaer, C.; Hofmann, J.; Mühlpfordt, M.; Frank, A.; Gröll, L.
2020. Computers & chemical engineering, 132, Article: 106604. doi:10.1016/j.compchemeng.2019.106604
Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices.
Scholz, S.; Elkaseer, A.; Salem, M.; Hagenmeyer, V.
2020. Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. Ed.: L. Borzemski, 160–172, Springer International Publishing, Cham. doi:10.1007/978-3-030-30440-9_16
Python for Power System Analysis (PyPSA) Version 0.14.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.
2019. Zenodo. doi:10.5281/zenodo.2845242
Python for Power System Analysis (PyPSA) Version 0.15.0.
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Neumann, D.
2019. Zenodo. doi:10.5281/zenodo.3532651
Distributed Optimization with ALADAIN.
Jiang, Y.; Engelmann, A.; Faulwasser, T.; Houska, B.
2019, Oktober 29. Systeme (2019), Magdeburg, Deutschland, 28.–29. Oktober 2019