Frank Hellmann

Orcid: 0000-0001-5635-4949

According to our database1, Frank Hellmann authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning.
CoRR, 2024

Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning.
CoRR, 2024

2022
Spike Spectra for Recurrences.
Entropy, November, 2022

PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids.
SoftwareX, 2022

Towards dynamic stability analysis of sustainable power grids using graph neural networks.
CoRR, 2022

Dynamic stability of power grids - new datasets for Graph Neural Networks.
CoRR, 2022

An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

2021
Probabilistic Behavioral Distance and Tuning - Reducing and aggregating complex systems.
CoRR, 2021

Predicting Dynamic Stability of Power Grids using Graph Neural Networks.
CoRR, 2021

Probabilistic Stability Assessment for Active Distribution Grids.
CoRR, 2021

A normal form for grid forming power grid components.
CoRR, 2021

2020
NetworkDynamics.jl - Composing and simulating complex networks in Julia.
CoRR, 2020

A multilayer, multi-timescale model approach for economic and frequency control in power grids.
CoRR, 2020

Iterative learning control in prosumer-based microgrids with hierarchical control.
CoRR, 2020


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