APA (7th ed.) Citation

Tan, J. (2021). A machine learning framework for bridging the gap between the steady-state scheduling and dynamic security operation for future power grids. National Renewable Energy Laboratory.

Chicago Style (17th ed.) Citation

Tan, Jin. A Machine Learning Framework for Bridging the Gap Between the Steady-state Scheduling and Dynamic Security Operation for Future Power Grids. [Golden, Colo.]: National Renewable Energy Laboratory, 2021.

MLA (9th ed.) Citation

Tan, Jin. A Machine Learning Framework for Bridging the Gap Between the Steady-state Scheduling and Dynamic Security Operation for Future Power Grids. National Renewable Energy Laboratory, 2021.