Frank Hellmann

According to our database, Frank Hellmann authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic Behavioral Aggregation: A Case Study on the Nordic Power Grid.

Anna Büttner, Frank Hellmann

CoRR, 2024

Small-signal stability of power systems with voltage droop.

Jakob Niehues, Robin Delabays, Frank Hellmann

CoRR, 2024

Projected Neural Differential Equations for Learning Constrained Dynamics.

Alistair White, Anna Büttner, Maximilian Gelbrecht, Valentin Duruisseaux, Niki Kilbertus, Frank Hellmann, Niklas Boers

CoRR, 2024

Complex-Phase, Data-Driven Identification of Grid-Forming Inverter Dynamics.

Anna Büttner, Hans Würfel, Sebastian Liemann, Johannes Schiffer, Frank Hellmann

CoRR, 2024

Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions.

Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann

CoRR, 2024

Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning.

Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner

CoRR, 2024

Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning.

Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann

CoRR, 2024

2022

Spike Spectra for Recurrences.

K. Hauke Kraemer, Frank Hellmann, Mehrnaz Anvari, Jürgen Kurths, Norbert Marwan

Entropy, November, 2022

PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids.

Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann

SoftwareX, 2022

Towards dynamic stability analysis of sustainable power grids using graph neural networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

Dynamic stability of power grids - new datasets for Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems.

Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann

Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

2021

Probabilistic Behavioral Distance and Tuning - Reducing and aggregating complex systems.

Frank Hellmann, Ekaterina Zolotarevskaia, Jürgen Kurths, Jörg Raisch

CoRR, 2021

Predicting Dynamic Stability of Power Grids using Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann

CoRR, 2021

Probabilistic Stability Assessment for Active Distribution Grids.

Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann

CoRR, 2021

A normal form for grid forming power grid components.

Raphael Kogler, Anton Plietzsch, Paul Schultz, Frank Hellmann

CoRR, 2021

2020

NetworkDynamics.jl - Composing and simulating complex networks in Julia.

Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann

CoRR, 2020

A multilayer, multi-timescale model approach for economic and frequency control in power grids.

Lia Strenge, Paul Schultz, Jürgen Kurths, Jörg Raisch, Frank Hellmann

CoRR, 2020

Iterative learning control in prosumer-based microgrids with hierarchical control.

Lia Strenge, Xiaohan Jing, Ruth Boersma, Paul Schultz, Frank Hellmann, Jürgen Kurths, Jörg Raisch, Thomas Seel

CoRR, 2020