Spyros Chatzivasileiadis

1. Lecture Notes on Optimal Power Flow (OPF)
   2018/11/02 by Spyros Chatzivasileiadis, Chatzivasileiadis, Spyros · 3 citations
   Engineering · #Electric Power System Optimization
2. Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
   2021/10/21 by Alyssa Kody, Kody, Alyssa, Samuel Chevalier +5 · 2 citations
   Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Power System Optimization and Stability #Systems and Control (eess.SY) #electronic engineering #information engineering
3. Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers
   2022/04/29 by Brynjar Sævarsson, Spyros Chatzivasileiadis, Sævarsson, Brynjar +5 · 2 citations
   Computer Science · Engineering · #FOS: Electrical engineering #FOS: Physical sciences #Low-power high-performance VLSI design #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum-Dot Cellular Automata #Systems and Control (eess.SY) #electronic engineering #information engineering
4. Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources
   2022/10/23 by Ilgiz Murzakhanov, Murzakhanov, Ilgiz, Sarthak Gupta +5 · 2 citations
   Engineering · #FOS: Electrical engineering #Microgrid Control and Optimization #Optimal Power Flow Distribution #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
5. Efficient Database Generation for Data-Driven Security Assessment of Power Systems
   2019/01/03 by Florian Thams, Andreas Venzke, Robert Eriksson +1 · 1 citation
   Engineering · #Power System Optimization and Stability #Optimal Power Flow Distribution #Smart Grid Security and Resilience
6. Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids
   2020/01/03 by Lucien Bobo, Bobo, Lucien, Andreas Venzke +3 · 1 citation
   Engineering · #Electric Power System Optimization #FOS: Electrical engineering #FOS: Mathematics #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
7. Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations
   2022/09/13 by R. I. Hamilton, Jochen Stiasny, Hamilton, Robert I. +13 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Energy Load and Power Forecasting #Explainable Artificial Intelligence (XAI) #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
8. Global Performance Guarantees for Neural Network Models of AC Power Flow
   2022/11/14 by Samuel Chevalier, Spyros Chatzivasileiadis, Chevalier, Samuel +1 · 2 citations
   Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG) #Power System Optimization and Stability #Power System Reliability and Maintenance #Systems and Control (eess.SY) #electronic engineering #information engineering
9. Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning
   2022/11/17 by Sarthak Gupta, Gupta, Sarthak, Vassilis Kekatos +3 · 1 citation
   Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Microgrid Control and Optimization #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Smart Grid Energy Management
10. Minimizing Worst-Case Violations of Neural Networks
    2022/12/21 by Rahul Nellikkath, Spyros Chatzivasileiadis, Nellikkath, Rahul +1 · 1 citation
    Engineering · #Electricity Theft Detection Techniques #Power System Reliability and Maintenance #Machine Fault Diagnosis Techniques
11. Physics-informed neural networks for phase locked loop transient stability assessment
    2024/11/01 by Rahul Nellikkath, Ilgiz Murzakhanov, Spyros Chatzivasileiadis +2 · 1 citation
12. Bayesian Physics-informed Neural Networks for system identification of inverter-dominated power systems
    2024/07/17 by Simon Stock, Davood Babazadeh, Christian Becker +1 · 1 citation
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Power System Optimization and Stability #Machine Fault Diagnosis Techniques