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Samuel Chevalier
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2020 – today
- 2024
- [c9]Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis:
GPU-Accelerated Verification of Machine Learning Models for Power Systems. HICSS 2024: 3160-3169 - [i30]Petros Ellinas, Samuel Chevalier, Spyros Chatzivasileiadis:
A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems. CoRR abs/2404.10693 (2024) - [i29]Seide Saba Rafiei, Samuel Chevalier
:
GPU-Accelerated DCOPF using Gradient-Based Optimization. CoRR abs/2406.13191 (2024) - [i28]Omid Mokhtari, Samuel Chevalier, Mads Almassalkhi:
Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection. CoRR abs/2407.02679 (2024) - [i27]Samuel Chevalier, Duncan Starkenburg, Krishnamurthy Dvijotham:
Achieving the Tightest Relaxation of Sigmoids for Formal Verification. CoRR abs/2408.10491 (2024) - [i26]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
- [c8]Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis
Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach. CDC 2023: 1575-1579 - [c7]Matias Kühnau, Akylas C. Stratigakos, Simon Camal, Samuel Chevalier, Georges Kariniotakis:
Resilient Feature-driven Trading of Renewable Energy with Missing Data. ISGT EUROPE 2023: 1-5 - [c6]Ignasi Ventura Nadal
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. ISGT EUROPE 2023: 1-6 - [i25]Ignasi Ventura Nadal, Samuel Chevalier:
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets. CoRR abs/2304.10912 (2023) - [i24]Samuel Chevalier
GPU-Accelerated Verification of Machine Learning Models for Power Systems. CoRR abs/2306.10617 (2023) - [i23]Samuel Chevalier:
A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment. CoRR abs/2310.06650 (2023) - [i22]Samuel Chevalier
Towards Perturbation-Induced Static Pivoting on GPU-Based Linear Solvers. CoRR abs/2311.11833 (2023) - [i21]Dakota Hamilton, Samuel Chevalier, Amritanshu Pandey, Mads Almassalkhi:
Towards Energysheds: A Technical Definition and Cooperative Planning Framework. CoRR abs/2311.16300 (2023) - 2022
- [c5]Samuel Chevalier
Towards Optimal Kron-based Reduction Of Networks (Opti-KRON) for the Electric Power Grid. CDC 2022: 5713-5718 - [c4]Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis:
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. L4DC 2022: 803-816 - [c3]Ignasi Ventura Nadal
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection. SmartGridComm 2022: 347-352 - [i20]Jochen Stiasny
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. CoRR abs/2203.07505 (2022) - [i19]Samuel Chevalier, Mads R. Almassalkhi:
Towards Optimal Kron-based Reduction Of Networks (Opti-KRON) for the Electric Power Grid. CoRR abs/2204.05554 (2022) - [i18]Ignasi Ventura Nadal, Samuel Chevalier:
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection. CoRR abs/2206.12214 (2022) - [i17]Robert I. Hamilton
Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. CoRR abs/2209.05793 (2022) - [i16]Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis:
Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. CoRR abs/2209.08645 (2022) - [i15]Samuel Chevalier
Global Performance Guarantees for Neural Network Models of AC Power Flow. CoRR abs/2211.07125 (2022) - 2021
- [c2]Jochen Stiasny
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. SmartGridComm 2021: 438-443 - [i14]Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis:
Contracting Neural-Newton Solver. CoRR abs/2106.02543 (2021) - [i13]Jochen Stiasny, Samuel Chevalier, Spyros Chatzivasileiadis:
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. CoRR abs/2106.15987 (2021) - [i12]Nils Müller, Samuel Chevalier, Carsten Heinrich, Kai Heussen, Charalampos Ziras:
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources. CoRR abs/2110.04174 (2021) - [i11]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 abs/2110.11269 (2021) - 2020
- [i10]Samuel Chevalier, Dan Wu:
Dynamic Linepack Depletion Models for Natural Gas Pipeline Networks. CoRR abs/2001.11496 (2020) - [i9]Samuel Chevalier, Luca Schenato, Luca Daniel:
Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion. CoRR abs/2010.14995 (2020) - [i8]Samuel Chevalier, Luca Schenato, Luca Daniel:
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. CoRR abs/2011.05397 (2020) - [i7]Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev:
Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. CoRR abs/2011.06707 (2020) - [i6]Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel:
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. CoRR abs/2011.12724 (2020)
2010 – 2019
- 2019
- [c1]Petr Vorobev, Samuel Chevalier
Decentralized stability rules for microgrids. ACC 2019: 2596-2601 - [i5]Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
A Passivity Enforcement Technique for Forced Oscillation Source Location. CoRR abs/1906.05169 (2019) - 2018
- [i4]Samuel Chevalier, Paul D. H. Hines:
Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data. CoRR abs/1805.03703 (2018) - [i3]Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters. CoRR abs/1807.02449 (2018) - [i2]Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn, Bin Wang, Slava Maslennikov:
Using Passivity Theory to Interpret the Dissipating Energy Flow Method. CoRR abs/1811.03260 (2018) - 2017
- [i1]Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
Using Effective Generator Impedance for Forced Oscillation Source Location. CoRR abs/1708.01893 (2017)
Coauthor Index
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last updated on 2024-10-18 19:28 CEST by the dblp team
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