Jochen Stiasny
Orcid: 0000-0001-9151-8363
According to our database1,
Jochen Stiasny
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods.
CoRR, 2024
2023
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition.
CoRR, 2023
Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility.
CoRR, 2023
2022
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems.
CoRR, 2022
Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations.
CoRR, 2022
CoRR, 2022
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers.
Proceedings of the Learning for Dynamics and Control Conference, 2022
2021
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation.
Proceedings of the IEEE International Conference on Communications, 2021
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics.
CoRR, 2020