Jochen Stiasny

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Environmentally Friendly

Computational Cost

Top Venues

Publications

Ignasi Ventura Nadal, Jochen Stiasny, Spyros Chatzivasileiadis
Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations. CoRR (2024)
Petros Ellinas, Rahul Nellikkath, Ignasi Ventura, Jochen Stiasny, Spyros Chatzivasileiadis
Correctness Verification of Neural Networks Approximating Differential Equations. CoRR (2024)
Jochen Stiasny, Spyros Chatzivasileiadis
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. CoRR (2024)
Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR (2023)
Jochen Stiasny, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. CoRR (2023)
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC (2022)
Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR (2022)
Robert I. Hamilton, Jochen Stiasny, Tabia Ahmad, Samuel Chevalier, Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis, Panagiotis N. Papadopoulos
Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. CoRR (2022)
Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. CoRR (2022)
Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. CoRR (2021)
Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CoRR (2021)
Jochen Stiasny, Georgios S. Misyris, Spyros Chatzivasileiadis
Transient Stability Analysis with Physics-Informed Neural Networks. CoRR (2021)
Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. SmartGridComm (2021)
Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CDC (2021)
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Contracting Neural-Newton Solver. CoRR (2021)
Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. CoRR (2020)