Samuel Chevalier

50 papers C 1Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints. CoRR Seide Saba Rafiei, Samuel Chevalier
2025	J	`jnl`	CPU- and GPU-Based Parallelization of the Robust Reference Governor. CoRR Hamid R. Ossareh, William Shayne, Samuel Chevalier
2025	J	`jnl`	Fast and Certified Bounding of Security-Constrained DCOPF via Interval Bound Propagation. CoRR Eren Tekeler, Xiangru Zhong, Huan Zhang, Samuel Chevalier
2025	—	`conf`	GPU-Accelerated DCOPF using Gradient-Based Optimization. HICSS Seide Saba Rafiei, Samuel Chevalier
2025	J	`jnl`	Identifying the Smallest Adversarial Load Perturbations that Render DC-OPF Infeasible. CoRR Samuel Chevalier, William A. Wheeler
2025	J	`jnl`	Large-scale Grid Optimization: The Workhorse of Future Grid Computations. CoRR Amritanshu Pandey, Mads Almassalkhi, Samuel Chevalier
2025	J	`jnl`	Maximal Load Shedding Verification for Neural Network Models of AC Line Switching. CoRR Samuel Chevalier, Duncan Starkenburg, Robert Parker, Noah Rhodes
2025	J	`jnl`	Optimal Kron-based Reduction of Networks (Opti-KRON) for Three-phase Distribution Feeders. CoRR Omid Mokhtari, Samuel Chevalier, Mads Almassalkhi
2025	J	`jnl`	Stochastic framework for scheduling preemptive upgrades of distribution transformers. CoRR William A. Wheeler, Samuel Chevalier, Amritanshu Pandey
2025	J	`jnl`	Structure-preserving Optimal Kron-based Reduction of Radial Distribution Networks. CoRR Omid Mokhtari, Samuel Chevalier, Mads Almassalkhi
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`	Achieving the Tightest Relaxation of Sigmoids for Formal Verification. CoRR Samuel Chevalier, Duncan Starkenburg, Krishnamurthy Dvijotham
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`	Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection. CoRR Omid Mokhtari, Samuel Chevalier, Mads Almassalkhi
2024	J	`jnl`	GPU-Accelerated DCOPF using Gradient-Based Optimization. CoRR Seide Saba Rafiei, Samuel Chevalier
2024	—	`conf`	GPU-Accelerated Verification of Machine Learning Models for Power Systems. HICSS Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2024	—	`conf`	Towards Energysheds: A Technical Definition and Cooperative Framework for Future Power System Operations. CDC Dakota Hamilton, Samuel Chevalier, Amritanshu Pandey, Mads Almassalkhi
2023	J	`jnl`	A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment. CoRR Samuel Chevalier
2023	—	`conf`	Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
2023	J	`jnl`	GPU-Accelerated Verification of Machine Learning Models for Power Systems. CoRR Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
2023	—	`conf`	Resilient Feature-driven Trading of Renewable Energy with Missing Data. ISGT EUROPE Matias Kühnau, Akylas C. Stratigakos, Simon Camal, Samuel Chevalier, Georges Kariniotakis
2023	—	`conf`	Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. ISGT EUROPE Ignasi Ventura Nadal, Samuel Chevalier
2023	J	`jnl`	Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. CoRR Ignasi Ventura Nadal, Samuel Chevalier
2023	J	`jnl`	Towards Energysheds: A Technical Definition and Cooperative Planning Framework. CoRR Dakota Hamilton, Samuel Chevalier, Amritanshu Pandey, Mads Almassalkhi
2023	J	`jnl`	Towards Perturbation-Induced Static Pivoting on GPU-Based Linear Solvers. CoRR Samuel Chevalier, Robert Parker
2022	—	`conf`	Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC Samuel Chevalier, Jochen Stiasny, 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	—	`conf`	Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection. SmartGridComm Ignasi Ventura Nadal, Samuel Chevalier
2022	J	`jnl`	Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection. CoRR Ignasi Ventura Nadal, Samuel Chevalier
2022	—	`conf`	Towards Optimal Kron-based Reduction Of Networks (Opti-KRON) for the Electric Power Grid. CDC Samuel Chevalier, Mads R. Almassalkhi
2022	J	`jnl`	Towards Optimal Kron-based Reduction Of Networks (Opti-KRON) for the Electric Power Grid. CoRR Samuel Chevalier, Mads R. Almassalkhi
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`	Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources. CoRR Nils Müller, Samuel Chevalier, Carsten Heinrich, Kai Heussen, Charalampos Ziras
2020	J	`jnl`	Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. CoRR Samuel Chevalier, Luca Schenato, Luca Daniel
2020	J	`jnl`	Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. CoRR Samuel Chevalier, Luca Schenato, Luca Daniel
2020	J	`jnl`	Dynamic Linepack Depletion Models for Natural Gas Pipeline Networks. CoRR Samuel Chevalier, Dan Wu
2020	J	`jnl`	Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. CoRR Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel
2020	J	`jnl`	Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. CoRR Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev
2019	J	`jnl`	A Passivity Enforcement Technique for Forced Oscillation Source Location. CoRR Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn
2019	C	`conf`	Decentralized stability rules for microgrids. ACC Petr Vorobev, Samuel Chevalier, Konstantin S. Turitsyn
2018	J	`jnl`	A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters. CoRR Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn
2018	J	`jnl`	Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data. CoRR Samuel Chevalier, Paul D. H. Hines
2018	J	`jnl`	Using Passivity Theory to Interpret the Dissipating Energy Flow Method. CoRR Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn, Bin Wang, Slava Maslennikov
2017	J	`jnl`	Using Effective Generator Impedance for Forced Oscillation Source Location. CoRR Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn