Spyros Chatzivasileiadis

95 papers C 2Journal 78Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trustworthiness Layer for Foundation Models in Power Systems: Application for N-k Contingency Assessment. CoRR Antonio Alcántara, Spyros Chatzivasileiadis
2026	J	`jnl`	Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation. CoRR Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk, Spyros Chatzivasileiadis
2025	J	`jnl`	A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security Boundary. CoRR Bastien Giraud, Lola Charles, Agnes Marjorie Nakiganda, Johanna Vorwerk, Spyros Chatzivasileiadis
2025	J	`jnl`	Neural Networks for AC Optimal Power Flow: Improving Worst-Case Guarantees during Training. CoRR Bastien Giraud, Rahul Nellikath, Johanna Vorwerk, Maad Alowaifeer, Spyros Chatzivasileiadis
2025	J	`jnl`	Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components. CoRR Ioannis Karampinis, Petros Ellinas, Johanna Vorwerk, Spyros Chatzivasileiadis
2025	J	`jnl`	Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy. CoRR Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
2025	J	`jnl`	Scalable Physics-Informed Neural Networks for Accelerating Electromagnetic Transient Stability Assessment. CoRR Ignasi Ventura Nadal, Mohammad Kazem Bakhshizadeh, Petros Aristidou, Nicolae Darii, Rahul Nellikkath, Spyros Chatzivasileiadis
2025	J	`jnl`	Toolbox for Developing Physics Informed Neural Networks for Power Systems Components. CoRR Ioannis Karampinis, Petros Ellinas, Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
2024	J	`jnl`	A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems. CoRR Petros Ellinas, Samuel Chevalier, Spyros Chatzivasileiadis
2024	J	`jnl`	Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems. CoRR Simon Stock, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis
2024	J	`jnl`	Correctness Verification of Neural Networks Approximating Differential Equations. CoRR Petros Ellinas, Rahul Nellikkath, Ignasi Ventura, Jochen Stiasny, Spyros Chatzivasileiadis
2024	J	`jnl`	Dual Pricing to Prioritize Renewable Energy and Consumer Preferences in Electricity Markets. CoRR Emilie Jong, Samuel Chevalier, Spyros Chatzivasileiadis, Shie Mannor
2024	J	`jnl`	Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. CoRR Jochen Stiasny, Spyros Chatzivasileiadis
2024	—	`conf`	GPU-Accelerated Verification of Machine Learning Models for Power Systems. HICSS Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2024	J	`jnl`	Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations. CoRR Ignasi Ventura Nadal, Jochen Stiasny, Spyros Chatzivasileiadis
2024	J	`jnl`	Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. IEEE Trans. Smart Grid Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos
2024	J	`jnl`	Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning. IEEE Trans. Smart Grid Sarthak Gupta, Vassilis Kekatos, Spyros Chatzivasileiadis
2024	J	`jnl`	Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis
2023	J	`jnl`	Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules. IEEE Control. Syst. Lett. Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis, Vassilis Kekatos
2023	—	`conf`	Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
2023	J	`jnl`	Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2023	J	`jnl`	GPU-Accelerated Verification of Machine Learning Models for Power Systems. CoRR Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2023	J	`jnl`	Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. CoRR Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2023	J	`jnl`	Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. CoRR Jochen Stiasny, Spyros Chatzivasileiadis
2023	J	`jnl`	Quantum Amplitude Estimation for Probabilistic Methods in Power Systems. CoRR Emilie Jong, Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis
2023	J	`jnl`	Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang
2023	J	`jnl`	Stochastic Quantum Power Flow for Risk Assessment in Power Systems. CoRR Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis
2023	J	`jnl`	Topology-Aware Neural Networks for Fast Contingency Analysis of Power Systems. CoRR Agnes Marjorie Nakiganda, Catherine Cheylan, Spyros Chatzivasileiadis
2022	J	`jnl`	A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement. CoRR Ilgiz Murzakhanov, Mirle Vishwanath Gururaj, Vemalaiah Kasi, Garima Prashal, Spyros Chatzivasileiadis, Narayana Prasad Padhy
2022	—	`conf`	Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
2022	J	`jnl`	Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. CoRR Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis
2022	J	`jnl`	Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis
2022	J	`jnl`	Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. CoRR Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
2022	J	`jnl`	Global Performance Guarantees for Neural Network Models of AC Power Flow. CoRR Samuel Chevalier, Spyros Chatzivasileiadis
2022	J	`jnl`	Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. CoRR Robert I. Hamilton, Jochen Stiasny, Tabia Ahmad, Samuel Chevalier, Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis, Panagiotis N. Papadopoulos
2022	J	`jnl`	Minimizing Worst-Case Violations of Neural Networks. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2022	J	`jnl`	Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. CoRR Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos
2022	J	`jnl`	Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers. CoRR Brynjar Sævarsson, Spyros Chatzivasileiadis, Hjörtur Jóhannsson, Jacob Østergaard
2021	J	`jnl`	Auction-Based vs Continuous Clearing in Local Flexibility Markets with Block Bids. CoRR Alicia Alarcón Cobacho, Eléa Prat, Daniel Vázquez Pombo, Spyros Chatzivasileiadis
2021	—	`conf`	Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CDC Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis
2021	J	`jnl`	Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CoRR Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis
2021	J	`jnl`	Contracting Neural-Newton Solver. CoRR Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
2021	—	`conf`	Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. SmartGridComm Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis
2021	J	`jnl`	Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. CoRR Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis
2021	J	`jnl`	Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. CoRR Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn
2021	J	`jnl`	Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets. CoRR Eléa Prat, Irena Dukovska, Rahul Nellikkath, Lars Herre, Malte Thoma, Spyros Chatzivasileiadis
2021	—	`conf`	Neural network interpretability for forecasting of aggregated renewable generation. SmartGridComm Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2021	J	`jnl`	Neural network interpretability for forecasting of aggregated renewable generation. CoRR Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2021	J	`jnl`	Physics-Informed Neural Networks for AC Optimal Power Flow. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2021	—	`conf`	Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. SmartGridComm Rahul Nellikkath, Spyros Chatzivasileiadis
2021	J	`jnl`	Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. CoRR Rahul Nellikkath, Spyros Chatzivasileiadis
2021	J	`jnl`	Reliability-Aware Probabilistic Reserve Procurement. CoRR Lars Herre, Pierre Pinson, Spyros Chatzivasileiadis
2021	J	`jnl`	Transient Stability Analysis with Physics-Informed Neural Networks. CoRR Jochen Stiasny, Georgios S. Misyris, Spyros Chatzivasileiadis
2021	J	`jnl`	Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. IEEE Trans. Smart Grid Andreas Venzke, Spyros Chatzivasileiadis
2020	J	`jnl`	Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters. CoRR Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2020	J	`jnl`	Extended mathematical derivations for the decentralized loss minimization algorithm with the use of inverters. CoRR Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2020	—	`conf`	From Decision Trees and Neural Networks to MILP: Power System Optimization Considering Dynamic Stability Constraints. ECC Spyros Chatzivasileiadis
2020	J	`jnl`	Identifying DC Faults in HVDC-VSC Systems for Integrating Large Offshore Wind - A Localized Protection Scheme. CoRR Vaibhav Nougain, Sukumar Mishra, George S. Misyris, Spyros Chatzivasileiadis
2020	—	`conf`	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. SmartGridComm Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
2020	J	`jnl`	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. CoRR Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
2020	J	`jnl`	Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching. CoRR Andrea Tosatto, Matas Dijokas, Danilo Obradovic, Tilman Weckesser, Robert Eriksson, Jenny Josefsson, Athanasios Krontiris, Mehrdad Ghandhari, Jacob Østergaard, Spyros Chatzivasileiadis
2020	J	`jnl`	Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. CoRR Andreas Venzke, Daniel Timon Viola, Jeanne Mermet-Guyennet, George S. Misyris, Spyros Chatzivasileiadis
2020	J	`jnl`	North Sea Wind Power Hub: System Configurations, Grid Implementation and Techno-economic Assessment. CoRR Georgios S. Misyris, Thierry Van Cutsem, Jakob Glarbo Møller, Matas Dijokas, Ona Renom Estragués, Bertrand Bastin, Spyros Chatzivasileiadis, Arne Hejde Nielsen, Tilman Weckesser, Jacob Østergaard, Fitim Kryezi
2020	J	`jnl`	Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. CoRR Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis
2020	J	`jnl`	Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids. CoRR Lucien Bobo, Andreas Venzke, Spyros Chatzivasileiadis
2020	J	`jnl`	Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries. CoRR Matas Dijokas, Andrea Tosatto, Tilman Weckesser, Spyros Chatzivasileiadis, Robert Eriksson
2020	J	`jnl`	Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control. CoRR Andrea Tosatto, Georgios S. Misyris, Adrià Junyent-Ferré, Fei Teng, Spyros Chatzivasileiadis
2020	J	`jnl`	Zero-inertia Offshore Grids: N-1 Security and Active Power Sharing. CoRR Georgios S. Misyris, Andrea Tosatto, Spyros Chatzivasileiadis, Tilman Weckesser
2020	J	`jnl`	Zero-inertia Systems: Sufficient Conditions for Phasor Modeling. CoRR George S. Misyris, Spyros Chatzivasileiadis, Tilman Weckesser
2019	J	`jnl`	Deep Learning for Power System Security Assessment. CoRR José-María Hidalgo-Arteaga, Fiodar Hancharou, Florian Thams, Spyros Chatzivasileiadis
2019	J	`jnl`	Efficient Creation of Datasets for Data-Driven Power System Applications. CoRR Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis
2019	J	`jnl`	Physics-Informed Neural Networks for Power Systems. CoRR George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
2019	J	`jnl`	Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. CoRR Andreas Venzke, Spyros Chatzivasileiadis
2018	J	`jnl`	Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability. CoRR Andreas Venzke, Lejla Halilbasic, Adelie Barre, Line Roald, Spyros Chatzivasileiadis
2018	J	`jnl`	Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems. CoRR Lejla Halilbasic, Pierre Pinson, Spyros Chatzivasileiadis
2018	J	`jnl`	Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids. CoRR Andreas Venzke, Spyros Chatzivasileiadis
2018	J	`jnl`	Efficient Database Generation for Data-driven Security Assessment of Power Systems. CoRR Florian Thams, Andreas Venzke, Robert Eriksson, Spyros Chatzivasileiadis
2018	J	`jnl`	Lecture Notes on Optimal Power Flow (OPF). CoRR Spyros Chatzivasileiadis
2018	—	`conf`	Robust Frequency Control for Varying Inertia Power Systems. ISGT Europe George S. Misyris, Spyros Chatzivasileiadis, Tilman Weckesser
2017	J	`jnl`	Convex Relaxations of Chance Constrained AC Optimal Power Flow. CoRR Andreas Venzke, Lejla Halilbasic, Uros Markovic, Gabriela Hug, Spyros Chatzivasileiadis
2017	—	`conf`	DC voltage droop control structures and its impact on the interaction modes in interconnected AC-HVDC systems. ISGT Asia Florian Thams, Spyros Chatzivasileiadis, Robert Eriksson
2017	J	`jnl`	Structural Emergency Control Paradigm. IEEE J. Emerg. Sel. Topics Circuits Syst. Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
2017	C	`conf`	Structural emergency control for power grids. ACC Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
2016	J	`jnl`	Cyber-Physical Modeling of Distributed Resources for Distribution System Operations. Proc. IEEE Spyros Chatzivasileiadis, Marco Bonvini, Javier Matanza, Rongxin Yin, Thierry S. Nouidui, Emre Can Kara, Rajiv Parmar, David Lorenzetti, Michael Wetter, Sila Kiliccote
2016	—	`conf`	Hardware-in-the-Loop co-simulation of distribution Grid for demand response. PSCC Sergi Rotger-Griful, Spyros Chatzivasileiadis, Rune Hylsberg Jacobsen, Emma M. Stewart, Javier Matanza Domingo, Michael Wetter
2016	J	`jnl`	Structural Emergency Control Paradigm. CoRR Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
2016	C	`conf`	Towards electronics-based emergency control in power grids with high renewable penetration. ACC Thanh Long Vu, Spyros Chatzivasileiadis, Konstantin S. Turitsyn
2015	J	`jnl`	A Fully Controllable Power System - Concept for FACTS and HVDC Placement. CoRR Spyros Chatzivasileiadis, Göran Andersson
2015	J	`jnl`	Cyber physical modeling of distributed resources for distribution system operations. CoRR Spyros Chatzivasileiadis, Marco Bonvini, Javier Matanza, Rongxin Yin, Zhenhua Liu, Thierry S. Nouidui, Emre Can Kara, Rajiv Parmar, David Lorenzetti, Michael Wetter, Sila Kiliccote
2015	J	`jnl`	Towards Electronics-based Emergency Control in Power Grids with High Renewable Penetration. CoRR Thanh Long Vu, Spyros Chatzivasileiadis, Konstantin S. Turitsyn
2014	J	`jnl`	Managing Flexibility in Multi-Area Power Systems. CoRR Matthias Bucher, Spyros Chatzivasileiadis, Göran Andersson
2014	—	`conf`	Security constrained OPF incorporating corrective control of HVDC. PSCC Spyros Chatzivasileiadis, Göran Andersson
2013	—	`conf`	Predictive control for real-time frequency regulation and rotational inertia provision in power systems. CDC Andreas Ulbig, Tobias Rinke, Spyros Chatzivasileiadis, Göran Andersson
2013	—	`conf`	Probabilistic security-constrained optimal power flow including the controllability of HVDC lines. ISGT Europe Maria Vrakopoulou, Spyros Chatzivasileiadis, Göran Andersson
2012	J	`jnl`	The Global Grid CoRR Spyros Chatzivasileiadis, Damien Ernst, Göran Andersson