• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 87 matches

• 2024
• 
  Sarthak Gupta, Vassilis Kekatos, Spyros Chatzivasileiadis:
  Optimal Design of Volt/VAR Control Rules of Inverters Using Deep Learning. IEEE Trans. Smart Grid 15(5): 4731-4743 (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): 312-323 (2024)
• 
  Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
  GPU-Accelerated Verification of Machine Learning Models for Power Systems. HICSS 2024: 3160-3169
• 
  Jochen Stiasny, Spyros Chatzivasileiadis:
  Error estimation for physics-informed neural networks with implicit Runge-Kutta methods. CoRR abs/2401.05211 (2024)
• 
  Petros Ellinas, Rahul Nellikkath, Ignasi Ventura, Jochen Stiasny, Spyros Chatzivasileiadis:
  Correctness Verification of Neural Networks Approximating Differential Equations. CoRR abs/2402.07621 (2024)
• 
  Simon Stock, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis:
  Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems. CoRR abs/2403.13602 (2024)
• 
  Petros Ellinas, Samuel Chevalier, Spyros Chatzivasileiadis:
  A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems. CoRR abs/2404.10693 (2024)
• 
  Ignasi Ventura Nadal, Jochen Stiasny, Spyros Chatzivasileiadis:
  Integrating Physics-Informed Neural Networks into Power System Dynamic Simulations. CoRR abs/2404.13325 (2024)
• 
  Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis:
  Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR abs/2405.06109 (2024)
• 
  Emilie Jong, Samuel Chevalier, Spyros Chatzivasileiadis, Shie Mannor:
  Dual Pricing to Prioritize Renewable Energy and Consumer Preferences in Electricity Markets. CoRR abs/2409.18766 (2024)
• 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: 1957-1962 (2023)
• 
  Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis:
  Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC 2023: 1575-1579
• 
  Jochen Stiasny, Spyros Chatzivasileiadis:
  Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. CoRR abs/2303.08994 (2023)
• 
  Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang:
  Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR abs/2303.10256 (2023)
• 
  Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh, Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
  Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. CoRR abs/2303.12116 (2023)
• 
  Rahul Nellikkath, Spyros Chatzivasileiadis:
  Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. CoRR abs/2303.13228 (2023)
• 
  Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
  GPU-Accelerated Verification of Machine Learning Models for Power Systems. CoRR abs/2306.10617 (2023)
• 
  Emilie Jong, Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis:
  Quantum Amplitude Estimation for Probabilistic Methods in Power Systems. CoRR abs/2309.17299 (2023)
• 
  Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis:
  Stochastic Quantum Power Flow for Risk Assessment in Power Systems. CoRR abs/2310.02203 (2023)
• 
  Agnes M. Nakiganda, Catherine Cheylan, Spyros Chatzivasileiadis:
  Topology-Aware Neural Networks for Fast Contingency Analysis of Power Systems. CoRR abs/2310.04213 (2023)
• 2022
• 
  Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis:
  Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC 2022: 803-816
• 
  Jochen Stiasny, Samuel Chevalier, Rahul Nellikkath, Brynjar Sævarsson, Spyros Chatzivasileiadis:
  Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR abs/2203.07505 (2022)
• 
  Brynjar Sævarsson, Spyros Chatzivasileiadis, Hjörtur Jóhannsson, Jacob Østergaard:
  Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers. CoRR abs/2204.14028 (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 abs/2207.11700 (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 abs/2209.05793 (2022)
• 
  Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis:
  Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. CoRR abs/2209.08645 (2022)
• 
  Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos:
  Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. CoRR abs/2210.12805 (2022)
• 
  Samuel Chevalier, Spyros Chatzivasileiadis:
  Global Performance Guarantees for Neural Network Models of AC Power Flow. CoRR abs/2211.07125 (2022)
• 
  Rahul Nellikkath, Spyros Chatzivasileiadis:
  Minimizing Worst-Case Violations of Neural Networks. CoRR abs/2212.10930 (2022)
• 
  Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis:
  Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. CoRR abs/2212.11911 (2022)

skipping 57 more matches