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Spyros Chatzivasileiadis
Spyros Chatzivasileiadis
Professor, Technical University of Denmark (DTU)
Bestätigte E-Mail-Adresse bei dtu.dk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Physics-informed neural networks for power systems
GS Misyris, A Venzke, S Chatzivasileiadis
2020 IEEE power & energy society general meeting (PESGM), 1-5, 2020
3242020
Microgrid evolution roadmap
C Marnay, S Chatzivasileiadis, C Abbey, R Iravani, G Joos, P Lombardi, ...
2015 international symposium on smart electric distribution systems and …, 2015
2872015
The global grid
S Chatzivasileiadis, D Ernst, G Andersson
Renewable Energy 57, 372-383, 2013
1962013
Onshore, offshore or in-turbine electrolysis? Techno-economic overview of alternative integration designs for green hydrogen production into Offshore Wind Power Hubs
A Singlitico, J Østergaard, S Chatzivasileiadis
Renewable and Sustainable Energy Transition 1, 100005, 2021
1712021
Convex Relaxations of Chance Constrained AC Optimal Power Flow
A Venzke, L Halilbasic, U Markovic, G Hug, S Chatzivasileiadis
IEEE Transactions on Power Systems, 2017
1402017
Probabilistic security-constrained optimal power flow including the controllability of HVDC lines
M Vrakopoulou, S Chatzivasileiadis, G Andersson
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES, 1-5, 2013
130*2013
DC microgrids scoping study. Estimate of technical and economic benefits
SN Backhaus, GW Swift, S Chatzivasileiadis, W Tschudi, S Glover, ...
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2015
1172015
Physics-informed neural networks for ac optimal power flow
R Nellikkath, S Chatzivasileiadis
Electric Power Systems Research 212, 108412, 2022
1132022
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
1062020
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
1032019
Development of an agent based intelligent control system for microgrids
SJ Chatzivasiliadis, ND Hatziargyriou, AL Dimeas
2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery …, 2008
932008
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
842020
Managing flexibility in multi-area power systems
MA Bucher, S Chatzivasileiadis, G Andersson
IEEE Transactions on Power Systems 31 (2), 1218-1226, 2015
822015
Cyber–physical modeling of distributed resources for distribution system operations
S Chatzivasileiadis, M Bonvini, J Matanza, R Yin, TS Nouidui, EC Kara, ...
Proceedings of the IEEE 104 (4), 789-806, 2016
732016
Multi-area DC-OPF for HVAC and HVDC grids
E Iggland, R Wiget, S Chatzivasileiadis, G Anderson
IEEE Transactions on Power Systems 30 (5), 2450-2459, 2014
722014
Control agents for enabling customer-driven microgrids
AL Dimeas, SI Hatzivasiliadis, ND Hatziargyriou
Power & Energy Society General Meeting, 2009. PES '09. IEEE, 1 - 7, 2009
662009
Predictive control for real-time frequency regulation and rotational inertia provision in power systems
A Ulbig, T Rinke, S Chatzivasileiadis, G Andersson
52nd IEEE Conference on Decision and Control, 2946-2953, 2013
642013
Lecture notes on optimal power flow (OPF)
S Chatzivasileiadis
arXiv preprint arXiv:1811.00943, 2018
63*2018
Deep learning for power system security assessment
JMH Arteaga, F Hancharou, F Thams, S Chatzivasileiadis
2019 IEEE Milan PowerTech, 1-6, 2019
622019
Physics-informed neural networks for non-linear system identification for power system dynamics
J Stiasny, GS Misyris, S Chatzivasileiadis
2021 IEEE Madrid PowerTech, 1-6, 2021
612021
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