2 citations · 3 across the 2 of their papers we have counts for
5 papers
Embedding Power Flow into Machine Learning for Parameter and State Estimation
Laurent Pagnier, Michael Chertkov
Modern state and parameter estimations in power systems consist of two stages: the outer problem of minimizing the mismatch between network observation and prediction over the netw…
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier, Michael Chertkov
Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the system engineering. They need to be done automatically, fast and frequently, as measuremen…
Locating line and node disturbances in networks of diffusively coupled dynamical agents
Robin Delabays, Laurent Pagnier, Melvyn Tyloo
A wide variety of natural and human-made systems consist of a large set of dynamical units coupled into a complex structure. Breakdown of such systems can have a dramatic impact, a…
Optimal placement of inertia and primary control : a matrix perturbation theory approach
Laurent Pagnier, Philippe Jacquod
The increasing penetration of inertialess new renewable energy sources reduces the overall mechanical inertia available in power grids and accordingly raises a number of issues of…
The Key Player Problem in Complex Oscillator Networks and Electric Power Grids: Resistance Centralities Identify Local Vulnerabilities
Melvyn Tyloo, Laurent Pagnier, Philippe Jacquod
Identifying key players in a set of coupled individual systems is a fundamental problem in network theory. Its origin can be traced back to social sciences and led to ranking algor…