Laurent Pagnier
Laurent Pagnier
Visiting Assistant Professor, University of Arizona
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Inertia location and slow network modes determine disturbance propagation in large-scale power grids
L Pagnier, P Jacquod
PloS one 14 (3), e0213550, 2019
The key player problem in complex oscillator networks and electric power grids: Resistance centralities identify local vulnerabilities
M Tyloo, L Pagnier, P Jacquod
Science advances 5 (11), eaaw8359, 2019
Physics-informed graphical neural network for parameter & state estimations in power systems
L Pagnier, M Chertkov
arXiv preprint arXiv:2102.06349, 2021
Optimal Placement of Inertia and Primary Control: A Matrix Perturbation Theory Approach
L Pagnier, P Jacquod
IEEE Access 7, 145889-145900, 2019
Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids
L Pagnier, P Jacquod
arXiv preprint arXiv:1810.04982, 2018
How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid
L Pagnier, P Jacquod
Energy 157, 550-560, 2018
Toward model reduction for power system transients with physics-informed PDE
L Pagnier, J Fritzsch, P Jacquod, M Chertkov
IEEE Access 10, 65118-65125, 2022
Optimal placement of inertia and primary control in high voltage power grids
P Jacquod, L Pagnier
2019 53rd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2019
A predictive pan-European economic and production dispatch model for the energy transition in the electricity sector
L Pagnier, P Jacquod
2017 IEEE Manchester PowerTech, 1-6, 2017
Embedding power flow into machine learning for parameter and state estimation
L Pagnier, M Chertkov
arXiv preprint arXiv:2103.14251, 2021
Locating line and node disturbances in networks of diffusively coupled dynamical agents
R Delabays, L Pagnier, M Tyloo
New Journal of Physics 23 (4), 043037, 2021
Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
R Ferrando, L Pagnier, R Mieth, Z Liang, Y Dvorkin, D Bienstock, ...
IEEE Transactions on Energy Markets, Policy and Regulation, 2023
PanTaGruEl-a pan-European transmission grid and electricity generation model (Zenodo Rep.)
L Pagnier, P Jacquod
Large electric load fluctuations in energy-efficient buildings and how to suppress them with demand side management
T Coletta, R Delabays, L Pagnier, P Jacquod
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2016
Control of line pack in natural gas system: Balancing limited resources under uncertainty
C Hyett, L Pagnier, J Alisse, L Sabban, I Goldshtein, M Chertkov
PSIG Annual Meeting, PSIG-2314, 2023
Locating fast-varying line disturbances with the frequency mismatch
R Delabays, L Pagnier, M Tyloo
IFAC-PapersOnLine 55 (13), 270-275, 2022
Machine learning for electricity market clearing
L Pagnier, R Ferrando, Y Dvorkin, M Chertkov
arXiv preprint arXiv:2205.11641, 2022
Swissgrid’s strategic grid 2025: an independent analysis
L Pagnier, P Jacquod
Swimming in Turbulent Environments with Physics Informed Reinforcement Learning
C Koh, M Chertkov, L Pagnier
Bulletin of the American Physical Society, 2023
System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel
L Pagnier, I Goldshtein, C Hyett, R Ferrando, J Alisse, L Saban, ...
arXiv preprint arXiv:2311.08686, 2023
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