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Profile
Laurent Pagnier
Visiting Assistant Professor, Mathematics
Mathematics
Full Page
Overview
Research
More
Collaboration
(1)
Michael Chertkov
Mutual work: 1 Grant﹒2 Proposals
Collaboration Details
Grants
(1)
Reinforcement Learning for Particle Accelerators
Active
·
2023
·
$0 / $215.4K
·
External
Key Personnel (KP)
reinforcement learning,
particle accelerators,
machine learning,
control systems,
physics
Publications
(24)
Recent
Focus on Monitoring and Control of Complex Supply Systems
2023
supply chain,
system dynamics,
operations management,
logistics,
quality management
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
2023
machine learning,
electricity markets,
physics-informed modeling,
energy economics
Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
2023
natural gas,
resource allocation,
uncertainty,
line pack control,
system balancing
Swimming in Turbulent Environments with Physics Informed Reinforcement Learning
2023
swimming,
reinforcement learning,
turbulent environments,
physics,
learning
Toward model reduction for power system transients with physics-informed PDE
2022
power systems,
model reduction,
transients,
physics-informed,
pde
Locating fast-varying line disturbances with the frequency mismatch
2022
power systems,
signal processing,
electrical engineering,
frequency analysis,
disturbance detection
Machine Learning for Electricity Market Clearing
2022
machine learning,
electricity market,
market clearing,
energy,
forecasting
Locating line and node disturbances in networks of diffusively coupled dynamical agents
2021
network dynamics,
fault detection,
coupled systems,
dynamical networks,
disturbance localization
Model Reduction of Swing Equations with Physics Informed PDE.
2021
model reduction,
swing equations,
physics-informed,
pde,
equation modeling
Physics-informed graphical neural network for parameter state estimations in power systems
2021
power systems,
neural networks,
parameter estimation,
physics-informed models,
state estimations