37 citations · 70 across the 7 of their papers we have counts for
7 papers
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
Christian Nauck, Rohan Gorantla, Michael Lindner +3
The geometry of a graph is encoded in dynamical processes on the graph. Many graph neural network (GNN) architectures are inspired by such dynamical systems, typically based on the…
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
Christian Nauck, Anna Büttner, Sebastian Liemann +2
Due to the increasing share of renewables, the analysis of the dynamical behavior of power grids gains importance. Effective risk assessments necessitate the analysis of large numb…
Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning
Christian Nauck, Michael Lindner, Nora Molkenthin +4
A central question of network science is how functional properties of systems emerge from their structure. For networked dynamical systems, structure is typically captured through…
Towards dynamic stability analysis of sustainable power grids using graph neural networks
Christian Nauck, Michael Lindner, Konstantin Schürholt +1
To mitigate climate change, the share of renewable needs to be increased. Renewable energies introduce new challenges to power grids due to decentralization, reduced inertia and vo…
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks
Christian Nauck, Michael Lindner, Konstantin Schürholt +1
To mitigate climate change, the share of renewable energies in power production needs to be increased. Renewables introduce new challenges to power grids regarding the dynamic stab…
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems
Anna Büttner, Hans Würfel, Anton Plietzsch +2
BlockSystems.jl and NetworkDynamics.jl are two novel software packages which facilitate highly efficient transient stability simulations of power networks. Users may specify inputs…
Predicting Basin Stability of Power Grids using Graph Neural Networks
Christian Nauck, Michael Lindner, Konstantin Schürholt +5
The prediction of dynamical stability of power grids becomes more important and challenging with increasing shares of renewable energy sources due to their decentralized structure,…