The Global Grid - Spyros Chatzivasileiadis; Damien Ernst; Göran Andersson (CoRR, 2012)

Predictive control for real-time frequency regulation and rotational inertia provision in power systems. - Andreas Ulbig; Tobias Rinke; Spyros Chatzivasileiadis; Göran Andersson (CDC, 2013)

Probabilistic security-constrained optimal power flow including the controllability of HVDC lines. - Maria Vrakopoulou; Spyros Chatzivasileiadis; Göran Andersson (ISGT Europe, 2013)

Security constrained OPF incorporating corrective control of HVDC. - Spyros Chatzivasileiadis; Göran Andersson (PSCC, 2014)

Managing Flexibility in Multi-Area Power Systems. - Matthias Bucher; Spyros Chatzivasileiadis; Göran Andersson (CoRR, 2014)

Cyber physical modeling of distributed resources for distribution system operations. - Spyros Chatzivasileiadis; Marco Bonvini; Javier Matanza; Rongxin Yin; Zhenhua Liu; Thierry S. Nouidui; Emre Can Kara; Rajiv Parmar; David Lorenzetti; Michael Wetter; Sila Kiliccote (CoRR, 2015)

A Fully Controllable Power System - Concept for FACTS and HVDC Placement. - Spyros Chatzivasileiadis; Göran Andersson (CoRR, 2015)

Towards electronics-based emergency control in power grids with high renewable penetration. - Thanh Long Vu 001; Spyros Chatzivasileiadis; Konstantin S. Turitsyn (ACC, 2016)

Hardware-in-the-Loop co-simulation of distribution Grid for demand response. - Sergi Rotger-Griful; Spyros Chatzivasileiadis; Rune Hylsberg Jacobsen; Emma M. Stewart; Javier Matanza Domingo; Michael Wetter (PSCC, 2016)

Cyber-Physical Modeling of Distributed Resources for Distribution System Operations. - Spyros Chatzivasileiadis; Marco Bonvini; Javier Matanza; Rongxin Yin; Thierry S. Nouidui; Emre Can Kara; Rajiv Parmar; David Lorenzetti; Michael Wetter; Sila Kiliccote (Proc. IEEE, 2016)

Structural emergency control for power grids. - Thanh Long Vu 001; Spyros Chatzivasileiadis; Hsiao-Dong Chiang; Konstantin S. Turitsyn (ACC, 2017)

DC voltage droop control structures and its impact on the interaction modes in interconnected AC-HVDC systems. - Florian Thams; Spyros Chatzivasileiadis; Robert Eriksson (ISGT Asia, 2017)

Convex Relaxations of Chance Constrained AC Optimal Power Flow. - Andreas Venzke; Lejla Halilbasic; Uros Markovic; Gabriela Hug; Spyros Chatzivasileiadis (CoRR, 2017)

Structural Emergency Control Paradigm. - Thanh Long Vu 001; Spyros Chatzivasileiadis; Hsiao-Dong Chiang; Konstantin S. Turitsyn (IEEE J. Emerg. Sel. Topics Circuits Syst., 2017)

Robust Frequency Control for Varying Inertia Power Systems. - George S. Misyris; Spyros Chatzivasileiadis; Tilman Weckesser (ISGT Europe, 2018)

Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids. - Andreas Venzke; Spyros Chatzivasileiadis (CoRR, 2018)

Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems. - Lejla Halilbasic; Pierre Pinson; Spyros Chatzivasileiadis (CoRR, 2018)

Efficient Database Generation for Data-driven Security Assessment of Power Systems. - Florian Thams; Andreas Venzke; Robert Eriksson; Spyros Chatzivasileiadis (CoRR, 2018)

Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability. - Andreas Venzke; Lejla Halilbasic; Adelie Barre; Line Roald; Spyros Chatzivasileiadis (CoRR, 2018)

Lecture Notes on Optimal Power Flow (OPF). - Spyros Chatzivasileiadis (CoRR, 2018)

Deep Learning for Power System Security Assessment. - José-María Hidalgo-Arteaga; Fiodar Hancharou; Florian Thams; Spyros Chatzivasileiadis (CoRR, 2019)

Efficient Creation of Datasets for Data-Driven Power System Applications. - Andreas Venzke; Daniel K. Molzahn; Spyros Chatzivasileiadis (CoRR, 2019)

Physics-Informed Neural Networks for Power Systems. - George S. Misyris; Andreas Venzke; Spyros Chatzivasileiadis (CoRR, 2019)

From Decision Trees and Neural Networks to MILP: Power System Optimization Considering Dynamic Stability Constraints. - Spyros Chatzivasileiadis (ECC, 2020)

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. - Andreas Venzke; Guannan Qu; Steven H. Low; Spyros Chatzivasileiadis (SmartGridComm, 2020)

Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries. - Matas Dijokas; Andrea Tosatto; Tilman Weckesser; Spyros Chatzivasileiadis; Robert Eriksson (CoRR, 2020)

Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids. - Lucien Bobo; Andreas Venzke; Spyros Chatzivasileiadis (CoRR, 2020)

Zero-inertia Systems: Sufficient Conditions for Phasor Modeling. - George S. Misyris; Spyros Chatzivasileiadis; Tilman Weckesser (CoRR, 2020)

Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. - Andreas Venzke; Daniel Timon Viola; Jeanne Mermet-Guyennet; George S. Misyris; Spyros Chatzivasileiadis (CoRR, 2020)

Identifying DC Faults in HVDC-VSC Systems for Integrating Large Offshore Wind - A Localized Protection Scheme. - Vaibhav Nougain; Sukumar Mishra; George S. Misyris; Spyros Chatzivasileiadis (CoRR, 2020)

Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. - Jochen Stiasny; George S. Misyris; Spyros Chatzivasileiadis (CoRR, 2020)

Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching. - Andrea Tosatto; Matas Dijokas; Danilo Obradovic; Tilman Weckesser; Robert Eriksson; Jenny Josefsson; Athanasios Krontiris; Mehrdad Ghandhari; Jacob Østergaard; Spyros Chatzivasileiadis (CoRR, 2020)

North Sea Wind Power Hub: System Configurations, Grid Implementation and Techno-economic Assessment. - 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 (CoRR, 2020)

Extended mathematical derivations for the decentralized loss minimization algorithm with the use of inverters. - Ilgiz Murzakhanov; Spyros Chatzivasileiadis (CoRR, 2020)

Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters. - Ilgiz Murzakhanov; Spyros Chatzivasileiadis (CoRR, 2020)

Zero-inertia Offshore Grids: N-1 Security and Active Power Sharing. - Georgios S. Misyris; Andrea Tosatto; Spyros Chatzivasileiadis; Tilman Weckesser (CoRR, 2020)

Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control. - Andrea Tosatto; Georgios S. Misyris; Adrià Junyent-Ferré; Fei Teng 005; Spyros Chatzivasileiadis (CoRR, 2020)

Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. - Georgios S. Misyris; Jochen Stiasny; Spyros Chatzivasileiadis (CDC, 2021)

Neural network interpretability for forecasting of aggregated renewable generation. - Yucun Lu; Ilgiz Murzakhanov; Spyros Chatzivasileiadis (SmartGridComm, 2021)

Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. - Rahul Nellikkath; Spyros Chatzivasileiadis (SmartGridComm, 2021)

Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. - Jochen Stiasny; Samuel Chevalier; Spyros Chatzivasileiadis (SmartGridComm, 2021)

Contracting Neural-Newton Solver. - Samuel Chevalier; Jochen Stiasny; Spyros Chatzivasileiadis (CoRR, 2021)

Transient Stability Analysis with Physics-Informed Neural Networks. - Jochen Stiasny; Georgios S. Misyris; Spyros Chatzivasileiadis (CoRR, 2021)

Physics-Informed Neural Networks for AC Optimal Power Flow. - Rahul Nellikkath; Spyros Chatzivasileiadis (CoRR, 2021)

Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets. - Eléa Prat; Irena Dukovska; Rahul Nellikkath; Lars Herre; Malte Thoma; Spyros Chatzivasileiadis (CoRR, 2021)

Auction-Based vs Continuous Clearing in Local Flexibility Markets with Block Bids. - Alicia Alarcón Cobacho; Eléa Prat; Daniel Vázquez Pombo; Spyros Chatzivasileiadis (CoRR, 2021)

Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. - Alyssa Kody; Samuel Chevalier; Spyros Chatzivasileiadis; Daniel K. Molzahn (CoRR, 2021)

Reliability-Aware Probabilistic Reserve Procurement. - Lars Herre; Pierre Pinson; Spyros Chatzivasileiadis (CoRR, 2021)

Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. - Andreas Venzke; Spyros Chatzivasileiadis (IEEE Trans. Smart Grid, 2021)

Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. - Samuel Chevalier; Jochen Stiasny; Spyros Chatzivasileiadis (L4DC, 2022)

Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. - Jochen Stiasny; Samuel Chevalier; Rahul Nellikkath; Brynjar Sævarsson; Spyros Chatzivasileiadis (CoRR, 2022)

Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers. - Brynjar Sævarsson; Spyros Chatzivasileiadis; Hjörtur Jóhannsson; Jacob Østergaard (CoRR, 2022)

A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement. - Ilgiz Murzakhanov; Mirle Vishwanath Gururaj; Vemalaiah Kasi; Garima Prashal; Spyros Chatzivasileiadis; Narayana Prasad Padhy (CoRR, 2022)

Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. - Robert I. Hamilton; Jochen Stiasny; Tabia Ahmad; Samuel Chevalier; Rahul Nellikkath; Ilgiz Murzakhanov; Spyros Chatzivasileiadis; Panagiotis N. Papadopoulos (CoRR, 2022)

Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. - Vladimir Dvorkin; Samuel Chevalier; Spyros Chatzivasileiadis (CoRR, 2022)

Global Performance Guarantees for Neural Network Models of AC Power Flow. - Samuel Chevalier; Spyros Chatzivasileiadis (CoRR, 2022)

Minimizing Worst-Case Violations of Neural Networks. - Rahul Nellikkath; Spyros Chatzivasileiadis (CoRR, 2022)

Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. - Simon Stock; Jochen Stiasny; Davood Babazadeh; Christian Becker 007; Spyros Chatzivasileiadis (CoRR, 2022)

Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. - Vladimir Dvorkin; Samuel Chevalier; Spyros Chatzivasileiadis (CDC, 2023)

Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. - Jochen Stiasny; Spyros Chatzivasileiadis (CoRR, 2023)

Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. - Jochen Stiasny; Spyros Chatzivasileiadis; Baosen Zhang (CoRR, 2023)

Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. - Rahul Nellikkath; Andreas Venzke; Mohammad Kazem Bakhshizadeh; Ilgiz Murzakhanov; Spyros Chatzivasileiadis (CoRR, 2023)

Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. - Rahul Nellikkath; Spyros Chatzivasileiadis (CoRR, 2023)

Quantum Amplitude Estimation for Probabilistic Methods in Power Systems. - Emilie Jong; Brynjar Sævarsson; Hjörtur Jóhannsson; Spyros Chatzivasileiadis (CoRR, 2023)

Stochastic Quantum Power Flow for Risk Assessment in Power Systems. - Brynjar Sævarsson; Hjörtur Jóhannsson; Spyros Chatzivasileiadis (CoRR, 2023)

Topology-Aware Neural Networks for Fast Contingency Analysis of Power Systems. - Agnes Marjorie Nakiganda; Catherine Cheylan; Spyros Chatzivasileiadis (CoRR, 2023)

Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules. - Sarthak Gupta; Ali Mehrizi-Sani; Spyros Chatzivasileiadis; Vassilis Kekatos (IEEE Control. Syst. Lett., 2023)

GPU-Accelerated Verification of Machine Learning Models for Power Systems. - Samuel Chevalier; Ilgiz Murzakhanov; Spyros Chatzivasileiadis (HICSS, 2024)

Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. - Jochen Stiasny; Spyros Chatzivasileiadis (CoRR, 2024)

Correctness Verification of Neural Networks Approximating Differential Equations. - Petros Ellinas; Rahul Nellikkath; Ignasi Ventura; Jochen Stiasny; Spyros Chatzivasileiadis (CoRR, 2024)

Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems. - Simon Stock; Davood Babazadeh; Christian Becker 007; Spyros Chatzivasileiadis (CoRR, 2024)

A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems. - Petros Ellinas; Samuel Chevalier; Spyros Chatzivasileiadis (CoRR, 2024)

Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations. - Ignasi Ventura Nadal; Jochen Stiasny; Spyros Chatzivasileiadis (CoRR, 2024)

Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. - Rahul Nellikkath; Mathieu Tanneau; Pascal Van Hentenryck; Spyros Chatzivasileiadis (CoRR, 2024)

Dual Pricing to Prioritize Renewable Energy and Consumer Preferences in Electricity Markets. - Emilie Jong; Samuel Chevalier; Spyros Chatzivasileiadis; Shie Mannor (CoRR, 2024)

Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. - Ilgiz Murzakhanov; Sarthak Gupta; Spyros Chatzivasileiadis; Vassilis Kekatos (IEEE Trans. Smart Grid, 2024)

Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning. - Sarthak Gupta; Vassilis Kekatos; Spyros Chatzivasileiadis (IEEE Trans. Smart Grid, 2024)

A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security Boundary. - Bastien Giraud; Lola Charles; Agnes Marjorie Nakiganda; Johanna Vorwerk; Spyros Chatzivasileiadis (CoRR, 2025)

Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy. - Ignasi Ventura Nadal; Rahul Nellikkath; Spyros Chatzivasileiadis (CoRR, 2025)

Toolbox for Developing Physics Informed Neural Networks for Power Systems Components. - Ioannis Karampinis; Petros Ellinas; Ignasi Ventura Nadal; Rahul Nellikkath; Spyros Chatzivasileiadis (CoRR, 2025)