7 citations · 9 across the 3 of their papers we have counts for
3 papers
Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid
Yongsun Lee, Hoyun Choi, Laurent Pagnier +6
Effective frequency control in power grids has become increasingly important with the increasing demand for renewable energy sources. Here, we propose a novel strategy for resolvin…
Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
Criston Hyett, Laurent Pagnier, Jean Alisse +3
We build and experiment with a realistic but reduced natural gas model of Israel. The system is unusual because (a) it is controlled from a limited number of points which are at, o…
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
Robert Ferrando, Laurent Pagnier, Robert Mieth +4
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets. The proposed solution, named Physics-Informed Market-Awar…