Andreas Venzke

Orcid: 0000-0002-6101-6001

According to our database1, Andreas Venzke authored at least 12 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment.
CoRR, 2023

2021
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications.
IEEE Trans. Smart Grid, 2021

2020
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs.
CoRR, 2020

Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids.
CoRR, 2020

DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Physics-Informed Neural Networks for Power Systems.
CoRR, 2019

Efficient Creation of Datasets for Data-Driven Power System Applications.
CoRR, 2019

2018
Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability.
CoRR, 2018

Efficient Database Generation for Data-driven Security Assessment of Power Systems.
CoRR, 2018

Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids.
CoRR, 2018

2017
Convex Relaxations of Chance Constrained AC Optimal Power Flow.
CoRR, 2017


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