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Andreas Venzke
Andreas Venzke
Verified email at elektro.dtu.dk
Title
Cited by
Cited by
Year
Physics-informed neural networks for power systems
GS Misyris, A Venzke, S Chatzivasileiadis
2020 IEEE power & energy society general meeting (PESGM), 1-5, 2020
2362020
Convex relaxations of chance constrained AC optimal power flow
A Venzke, L Halilbasic, U Markovic, G Hug, S Chatzivasileiadis
IEEE Transactions on Power Systems 33 (3), 2829-2841, 2017
1282017
Verification of neural network behaviour: Formal guarantees for power system applications
A Venzke, S Chatzivasileiadis
IEEE Transactions on Smart Grid 12 (1), 383-397, 2020
892020
Efficient database generation for data-driven security assessment of power systems
F Thams, A Venzke, R Eriksson, S Chatzivasileiadis
IEEE Transactions on Power Systems 35 (1), 30-41, 2019
872019
Learning optimal power flow: Worst-case guarantees for neural networks
A Venzke, G Qu, S Low, S Chatzivasileiadis
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
742020
Convex relaxations of probabilistic AC optimal power flow for interconnected AC and HVDC grids
A Venzke, S Chatzivasileiadis
IEEE Transactions on Power Systems 34 (4), 2706-2718, 2019
482019
Efficient creation of datasets for data-driven power system applications
A Venzke, DK Molzahn, S Chatzivasileiadis
Electric Power Systems Research 190, 106614, 2021
472021
Data-driven security-constrained AC-OPF for operations and markets
L Halilbašić, F Thams, A Venzke, S Chatzivasileiadis, P Pinson
2018 power systems computation conference (PSCC), 1-7, 2018
472018
Inexact convex relaxations for AC optimal power flow: Towards AC feasibility
A Venzke, S Chatzivasileiadis, DK Molzahn
Electric Power Systems Research 187, 106480, 2020
462020
Second-order cone relaxations of the optimal power flow for active distribution grids: Comparison of methods
L Bobo, A Venzke, S Chatzivasileiadis
International Journal of Electrical Power & Energy Systems 127, 106625, 2021
402021
DeepOPF+: A deep neural network approach for DC optimal power flow for ensuring feasibility
T Zhao, X Pan, M Chen, A Venzke, SH Low
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
382020
Convex Relaxations of Security Constrained AC Optimal Power Flow under Uncertainty
A Venzke, S Chatzivasileiadis
Power Systems Computation Conference (PSCC), Dublin, 2018
312018
Machine learning in power systems: Is it time to trust it?
S Chatzivasileiadis, A Venzke, J Stiasny, G Misyris
IEEE Power and Energy Magazine 20 (3), 32-41, 2022
302022
Neural networks for encoding dynamic security-constrained optimal power flow
I Murzakhanov, A Venzke, GS Misyris, S Chatzivasileiadis
arXiv preprint arXiv:2003.07939, 2020
272020
Chance-constrained AC optimal power flow integrating HVDC lines and controllability
A Venzke, L Halilbašić, A Barré, L Roald, S Chatzivasileiadis
International Journal of Electrical Power & Energy Systems 116, 105522, 2020
252020
Neural networks for encoding dynamic security-constrained optimal power flow to mixed-integer linear programs
A Venzke, D Timon Viola, J Mermet-Guyennet, GS Misyris, ...
arXiv e-prints, arXiv: 2003.07939, 2020
222020
Model predictive control for reactive power management in transmission connected distribution grids
DS Stock, A Venzke, T Hennig, L Hofmann
2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC …, 2016
192016
Optimal reactive power management for transmission connected distribution grid with wind farms
DS Stock, A Venzke, L Löwer, K Rohrig, L Hofmann
2016 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), 1076-1082, 2016
162016
Second-order cone relaxations of the Optimal Power Flow for active distribution grids
L Bobo, A Venzke, S Chatzivasileiadis
arXiv preprint arXiv:2001.00898, 2020
112020
Optimal control of wind power systems with energy storage
A Venzke, P Fortenbacher, G Andersson
2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016
32016
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Articles 1–20