Xin Fang

Xin Fang

Assistant Professor of Electrical Engineering at the University of South Carolina. Director of the IDEAL Lab.

A comparison of machine learning methods for frequency nadir estimation in power systems

Published in 2022 IEEE Kansas Power and Energy Conference (KPEC), 2022

Journal link

Recommended citation: X Liu, J Xie, X Fang, H Yuan, B Wang, H Wu, J Tan, "A comparison of machine learning methods for frequency nadir estimation in power systems," 2022 IEEE Kansas Power and Energy Conference (KPEC), 2022. Journal link