@misc{4cd51a459a1647cca6214fe2b5f418e3,
title = "A Machine Learning Framework for Bridging the Gap Between the Steady-State Scheduling and Dynamic Security Operation for Future Power Grids",
abstract = "This presentation was part of an invited talk for a panel session presented at the 2021 IEEE Power & Energy Society General Meeting, held 26-29 July 2021.",
keywords = "decision making, high renewable, machine learnning, multi-timescale, power grid, stability",
author = "Jin Tan",
year = "2021",
language = "American English",
series = "Presented at the 2021 IEEE Power & Energy Society General Meeting, 26-29 July 2021",
type = "Other",
}
