From the 1 of 4 linked papers with an AI index.
4 papers
Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers
Jérôme Picault, Clément Goubet
The paper proposes using multi‑agent AI and the Model Context Protocol to let large language models interact with power‑grid simulation tools, enabling agents to set up, run, and r…
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
Milad Leyli-abadi, Antoine Marot, Jérôme Picault
In the context of the energy transition, with increasing integration of renewable sources and cross-border electricity exchanges, power grids are encountering greater uncertainty a…
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
Milad Leyli-Abadi, Jérôme Picault, Antoine Marot +7
This paper addresses the growing computational challenges of power grid simulations, particularly with the increasing integration of renewable energy sources like wind and solar. A…
BERTrend: Neural Topic Modeling for Emerging Trends Detection
Allaa Boutaleb, Jerome Picault, Guillaume Grosjean
Detecting and tracking emerging trends and weak signals in large, evolving text corpora is vital for applications such as monitoring scientific literature, managing brand reputatio…