Spyros Chatzivasileiadis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 76

Top Topics

Loss Minimization

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)
Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
GPU-Accelerated Verification of Machine Learning Models for Power Systems. HICSS (2024)
Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR (2024)
Petros Ellinas, Samuel Chevalier, Spyros Chatzivasileiadis
A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems. CoRR (2024)
Jochen Stiasny, Spyros Chatzivasileiadis
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. CoRR (2024)
Simon Stock, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems. CoRR (2024)
Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos
Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. IEEE Trans. Smart Grid 15 (1) (2024)
Agnes M. Nakiganda, Catherine Cheylan, Spyros Chatzivasileiadis
Topology-Aware Neural Networks for Fast Contingency Analysis of Power Systems. CoRR (2023)
Rahul Nellikkath, Spyros Chatzivasileiadis
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. CoRR (2023)
Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis
Stochastic Quantum Power Flow for Risk Assessment in Power Systems. CoRR (2023)
Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
GPU-Accelerated Verification of Machine Learning Models for Power Systems. CoRR (2023)
Emilie Jong, Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis
Quantum Amplitude Estimation for Probabilistic Methods in Power Systems. CoRR (2023)
Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang
Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR (2023)
Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. CoRR (2023)
Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC (2023)
Jochen Stiasny, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. CoRR (2023)
Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis, Vassilis Kekatos
Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules. IEEE Control. Syst. Lett. 7 (2023)
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC (2022)
Ilgiz Murzakhanov, Mirle Vishwanath Gururaj, Vemalaiah Kasi, Garima Prashal, Spyros Chatzivasileiadis, Narayana Prasad Padhy
A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement. CoRR (2022)
Samuel Chevalier, Spyros Chatzivasileiadis
Global Performance Guarantees for Neural Network Models of AC Power Flow. CoRR (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)
Rahul Nellikkath, Spyros Chatzivasileiadis
Minimizing Worst-Case Violations of Neural Networks. CoRR (2022)
Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. 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)
Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos
Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. CoRR (2022)
Brynjar Sævarsson, Spyros Chatzivasileiadis, Hjörtur Jóhannsson, Jacob Østergaard
Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers. CoRR (2022)
Alicia Alarcón Cobacho, Eléa Prat, Daniel Vázquez Pombo, Spyros Chatzivasileiadis
Auction-Based vs Continuous Clearing in Local Flexibility Markets with Block Bids. CoRR (2021)
Lars Herre, Pierre Pinson, Spyros Chatzivasileiadis
Reliability-Aware Probabilistic Reserve Procurement. CoRR (2021)
Andreas Venzke, Spyros Chatzivasileiadis
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. IEEE Trans. Smart Grid 12 (1) (2021)
Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. CoRR (2021)
Rahul Nellikkath, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. SmartGridComm (2021)
Georgios S. Misyris, Jochen Stiasny, Spyros Chatzivasileiadis
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. CoRR (2021)
Rahul Nellikkath, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. CoRR (2021)
Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Neural network interpretability for forecasting of aggregated renewable generation. SmartGridComm (2021)
Eléa Prat, Irena Dukovska, Rahul Nellikkath, Lars Herre, Malte Thoma, Spyros Chatzivasileiadis
Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets. CoRR (2021)
Rahul Nellikkath, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for AC Optimal Power Flow. 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)
Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Neural network interpretability for forecasting of aggregated renewable generation. CoRR (2021)
Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. CoRR (2021)
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Contracting Neural-Newton Solver. CoRR (2021)
Georgios S. Misyris, Andrea Tosatto, Spyros Chatzivasileiadis, Tilman Weckesser
Zero-inertia Offshore Grids: N-1 Security and Active Power Sharing. CoRR (2020)
George S. Misyris, Spyros Chatzivasileiadis, Tilman Weckesser
Zero-inertia Systems: Sufficient Conditions for Phasor Modeling. CoRR (2020)
Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. CoRR (2020)
Andreas Venzke, Daniel Timon Viola, Jeanne Mermet-Guyennet, George S. Misyris, Spyros Chatzivasileiadis
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. CoRR (2020)
Andrea Tosatto, Matas Dijokas, Danilo Obradovic, Tilman Weckesser, Robert Eriksson, Jenny Josefsson, Athanasios Krontiris, Mehrdad Ghandhari, Jacob Østergaard, Spyros Chatzivasileiadis
Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching. CoRR (2020)
Matas Dijokas, Andrea Tosatto, Tilman Weckesser, Spyros Chatzivasileiadis, Robert Eriksson
Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries. CoRR (2020)
Lucien Bobo, Andreas Venzke, Spyros Chatzivasileiadis
Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids. CoRR (2020)
Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. SmartGridComm (2020)
Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. CoRR (2020)
Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters. CoRR (2020)
Andrea Tosatto, Georgios S. Misyris, Adrià Junyent-Ferré, Fei Teng, Spyros Chatzivasileiadis
Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control. CoRR (2020)
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
North Sea Wind Power Hub: System Configurations, Grid Implementation and Techno-economic Assessment. CoRR (2020)
Vaibhav Nougain, Sukumar Mishra, George S. Misyris, Spyros Chatzivasileiadis
Identifying DC Faults in HVDC-VSC Systems for Integrating Large Offshore Wind - A Localized Protection Scheme. CoRR (2020)
Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Extended mathematical derivations for the decentralized loss minimization algorithm with the use of inverters. CoRR (2020)
Andreas Venzke, Spyros Chatzivasileiadis
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. CoRR (2019)
José-María Hidalgo-Arteaga, Fiodar Hancharou, Florian Thams, Spyros Chatzivasileiadis
Deep Learning for Power System Security Assessment. CoRR (2019)
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
Physics-Informed Neural Networks for Power Systems. CoRR (2019)
Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis
Efficient Creation of Datasets for Data-Driven Power System Applications. CoRR (2019)
Lejla Halilbasic, Pierre Pinson, Spyros Chatzivasileiadis
Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems. CoRR (2018)
Florian Thams, Andreas Venzke, Robert Eriksson, Spyros Chatzivasileiadis
Efficient Database Generation for Data-driven Security Assessment of Power Systems. CoRR (2018)
Andreas Venzke, Lejla Halilbasic, Adelie Barre, Line Roald, Spyros Chatzivasileiadis
Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability. CoRR (2018)
Andreas Venzke, Spyros Chatzivasileiadis
Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids. CoRR (2018)
Spyros Chatzivasileiadis
Lecture Notes on Optimal Power Flow (OPF). CoRR (2018)
George S. Misyris, Spyros Chatzivasileiadis, Tilman Weckesser
Robust Frequency Control for Varying Inertia Power Systems. ISGT Europe (2018)
Andreas Venzke, Lejla Halilbasic, Uros Markovic, Gabriela Hug, Spyros Chatzivasileiadis
Convex Relaxations of Chance Constrained AC Optimal Power Flow. CoRR (2017)
Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
Structural Emergency Control Paradigm. IEEE J. Emerg. Sel. Topics Circuits Syst. 7 (3) (2017)
Florian Thams, Spyros Chatzivasileiadis, Robert Eriksson
DC voltage droop control structures and its impact on the interaction modes in interconnected AC-HVDC systems. ISGT Asia (2017)
Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
Structural emergency control for power grids. ACC (2017)
Sergi Rotger-Griful, Spyros Chatzivasileiadis, Rune Hylsberg Jacobsen, Emma M. Stewart, Javier Matanza Domingo, Michael Wetter
Hardware-in-the-Loop co-simulation of distribution Grid for demand response. PSCC (2016)
Spyros Chatzivasileiadis, Marco Bonvini, Javier Matanza, Rongxin Yin, Thierry S. Nouidui, Emre Can Kara, Rajiv Parmar, David Lorenzetti, Michael Wetter, Sila Kiliccote
Cyber-Physical Modeling of Distributed Resources for Distribution System Operations. Proc. IEEE 104 (4) (2016)
Thanh Long Vu, Spyros Chatzivasileiadis, Hsiao-Dong Chiang, Konstantin S. Turitsyn
Structural Emergency Control Paradigm. CoRR (2016)
Thanh Long Vu, Spyros Chatzivasileiadis, Konstantin S. Turitsyn
Towards electronics-based emergency control in power grids with high renewable penetration. ACC (2016)
Thanh Long Vu, Spyros Chatzivasileiadis, Konstantin S. Turitsyn
Towards Electronics-based Emergency Control in Power Grids with High Renewable Penetration. CoRR (2015)
Spyros Chatzivasileiadis, Göran Andersson
A Fully Controllable Power System - Concept for FACTS and HVDC Placement. CoRR (2015)
Spyros Chatzivasileiadis, Marco Bonvini, Javier Matanza, Rongxin Yin, Zhenhua Liu, Thierry S. Nouidui, Emre Can Kara, Rajiv Parmar, David Lorenzetti, Michael Wetter, Sila Kiliccote
Cyber physical modeling of distributed resources for distribution system operations. CoRR (2015)
Spyros Chatzivasileiadis, Göran Andersson
Security constrained OPF incorporating corrective control of HVDC. PSCC (2014)
Matthias Bucher, Spyros Chatzivasileiadis, Göran Andersson
Managing Flexibility in Multi-Area Power Systems. CoRR (2014)
Andreas Ulbig, Tobias Rinke, Spyros Chatzivasileiadis, Göran Andersson
Predictive control for real-time frequency regulation and rotational inertia provision in power systems. CDC (2013)
Maria Vrakopoulou, Spyros Chatzivasileiadis, Göran Andersson
Probabilistic security-constrained optimal power flow including the controllability of HVDC lines. ISGT Europe (2013)
Spyros Chatzivasileiadis, Damien Ernst, Göran Andersson
The Global Grid CoRR (2012)