Laurent Pagnier

According to our database, Laurent Pagnier authored at least 19 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Closed-loop Framework to Discriminate Models Using Optimal Control.

Laurent Pagnier, Melvyn Tyloo, Akshita Jindal, Pragati Thakur, Kyle C. A. Wedgwood

CoRR, March, 2026

Accurate Data-Based State Estimation from Power Loads Inference in Electric Power Grids.

Philippe Jacquod, Laurent Pagnier, Daniel J. Gauthier

CoRR, February, 2026

Real-Time Dynamic N-1 Screening: Identifying High-Risk Lines and Transformers After Common Faults.

Ayrton Almada, Laurent Pagnier, Igal Goldshtein, Saif R. Kazi, Michael Chertkov

CoRR, February, 2026

2024

Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid.

Yongsun Lee, Hoyun Choi, Laurent Pagnier, Cook Hyun Kim, Jongshin Lee, Bukyoung Jhun, Heetae Kim, Jürgen Kurths, B. Kahng

CoRR, 2024

Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence.

Christopher Koh, Laurent Pagnier, Michael Chertkov

CoRR, 2024

System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel.

Laurent Pagnier, Criston Hyett, Robert Ferrando, Igal Goldshtein, Jean Alisse, Lilah Saban, Michael Chertkov

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows.

Criston Hyett, Laurent Pagnier, Jean Alisse, Igal Goldshtein, Lilah Saban, Robert Ferrando, Michael Chertkov

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty.

Criston Hyett, Laurent Pagnier, Jean Alisse, Lilach Sabban, Igal Goldshtein, Michael Chertkov

CoRR, 2023

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study.

Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov

CoRR, 2023

2022

Machine Learning for Electricity Market Clearing.

Laurent Pagnier, Robert Ferrando, Yury Dvorkin, Michael Chertkov

CoRR, 2022

Toward Model Reduction for Power System Transients With Physics-Informed PDE.

Laurent Pagnier, Julian Fritzsch, Philippe Jacquod, Michael Chertkov

IEEE Access, 2022

2021

Model Reduction of Swing Equations with Physics Informed PDE.

Laurent Pagnier, Michael Chertkov, Julian Fritzsch, Philippe Jacquod

CoRR, 2021

Embedding Power Flow into Machine Learning for Parameter and State Estimation.

Laurent Pagnier, Michael Chertkov

CoRR, 2021

Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems.

Laurent Pagnier, Michael Chertkov

CoRR, 2021

2020

Detecting and Locating Disturbances in High Voltage Electrical Networks.

Robin Delabays, Laurent Pagnier, Melvyn Tyloo

CoRR, 2020

2019

Optimal Placement of Inertia and Primary Control: A Matrix Perturbation Theory Approach.

Laurent Pagnier, Philippe Jacquod

IEEE Access, 2019

Optimal placement of inertia and primary control in high voltage power grids.

Philippe Jacquod, Laurent Pagnier

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018

Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids.

Laurent Pagnier, Philippe Jacquod

CoRR, 2018

2016

Large electric load fluctuations in energy-efficient buildings and how to suppress them with demand side management.

Tommaso Coletta, Robin Delabays, Laurent Pagnier, Philippe Jacquod

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016