default search action
Samuel Chevalier
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: