Open AccessElectromechanical Mode Estimation in the Presence of Periodic Forced Oscillations
Author(s) -
Urmila Agrawal,
Jim Follum,
John W. Pierre,
Dongliang Duan
Publication year - 2019
Publication title -
ieee transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.312
H-Index - 263
eISSN - 1558-0679
pISSN - 0885-8950
DOI - 10.1109/tpwrs.2018.2876128
Subject(s) - autoregressive model , autoregressive–moving average model , signal (programming language) , mode (computer interface) , electric power system , control theory (sociology) , stability (learning theory) , amplitude , mathematics , margin (machine learning) , estimation theory , moving average , algorithm , power (physics) , computer science , statistics , artificial intelligence , physics , control (management) , quantum mechanics , operating system , machine learning , programming language