Frank Hellmann

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Experimentally Validated

Environmentally Friendly

Iterative Learning

Top Venues

Publications

Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning. CoRR (2024)
Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning. CoRR (2024)
Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions. CoRR (2024)
Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. OSMSES (2022)
K. Hauke Kraemer, Frank Hellmann, Mehrnaz Anvari, Jürgen Kurths, Norbert Marwan
Spike Spectra for Recurrences. Entropy 24 (11) (2022)
Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann
PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids. SoftwareX 17 (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Towards dynamic stability analysis of sustainable power grids using graph neural networks. CoRR (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann
Dynamic stability of power grids - new datasets for Graph Neural Networks. CoRR (2022)
Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
Predicting Dynamic Stability of Power Grids using Graph Neural Networks. CoRR (2021)
Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann
Probabilistic Stability Assessment for Active Distribution Grids. CoRR (2021)
Raphael Kogler, Anton Plietzsch, Paul Schultz, Frank Hellmann
A normal form for grid forming power grid components. CoRR (2021)
Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. CoRR (2021)
Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann
PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids. CoRR (2021)
Frank Hellmann, Ekaterina Zolotarevskaia, Jürgen Kurths, Jörg Raisch
Probabilistic Behavioral Distance and Tuning - Reducing and aggregating complex systems. CoRR (2021)
Lia Strenge, Xiaohan Jing, Ruth Boersma, Paul Schultz, Frank Hellmann, Jürgen Kurths, Jörg Raisch, Thomas Seel
Iterative learning control in prosumer-based microgrids with hierarchical control. CoRR (2020)
Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann
NetworkDynamics.jl - Composing and simulating complex networks in Julia. CoRR (2020)
Lia Strenge, Paul Schultz, Jürgen Kurths, Jörg Raisch, Frank Hellmann
A multilayer, multi-timescale model approach for economic and frequency control in power grids. CoRR (2020)