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 (ISGT Europe, 2016)

Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids. - Laurent Pagnier; Philippe Jacquod (CoRR, 2018)

Optimal placement of inertia and primary control in high voltage power grids. - Philippe Jacquod; Laurent Pagnier (CISS, 2019)

Optimal Placement of Inertia and Primary Control: A Matrix Perturbation Theory Approach. - Laurent Pagnier; Philippe Jacquod (IEEE Access, 2019)

Detecting and Locating Disturbances in High Voltage Electrical Networks. - Robin Delabays; Laurent Pagnier; Melvyn Tyloo (CoRR, 2020)

Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems. - Laurent Pagnier; Michael Chertkov (CoRR, 2021)

Embedding Power Flow into Machine Learning for Parameter and State Estimation. - Laurent Pagnier; Michael Chertkov (CoRR, 2021)

Model Reduction of Swing Equations with Physics Informed PDE. - Laurent Pagnier; Michael Chertkov; Julian Fritzsch; Philippe Jacquod (CoRR, 2021)

Toward Model Reduction for Power System Transients With Physics-Informed PDE. - Laurent Pagnier; Julian Fritzsch; Philippe Jacquod; Michael Chertkov (IEEE Access, 2022)

Machine Learning for Electricity Market Clearing. - Laurent Pagnier; Robert Ferrando; Yury Dvorkin; Michael Chertkov (CoRR, 2022)

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)

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)

Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows. - Criston Hyett; Laurent Pagnier; Jean Alisse; Igal Goldshtein; Lilah Saban; Robert Ferrando; Michael Chertkov (CDC, 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 (CDC, 2024)

Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence. - Christopher Koh; Laurent Pagnier; Michael Chertkov (CoRR, 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)