Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Data-driven transient stability analysis using the Koopman operator
Amar Ramapuram Matavalam
, Boya Hou
, Hyungjin Choi
,
Subhonmesh Bose
, Umesh Vaidya
Electrical and Computer Engineering
Coordinated Science Lab
Information Trust Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Data-driven transient stability analysis using the Koopman operator'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Critical Clearing Time
50%
Data-driven Methods
100%
Eigenfunctions
100%
Eigenvalues
50%
Koopman Eigenfunctions
50%
Koopman Operator
100%
Long Trajectory
50%
Nonparametric Learning
50%
Numerical Experiments
50%
Post-fault
50%
Power System
50%
Power System Dynamics
50%
Power System Model
50%
Power System Transient Stability Analysis
50%
Region of Attraction
50%
Reproducing Kernel Hilbert Space
50%
Short Bursts
50%
Stable Equilibrium
50%
State Propagation
50%
System Dynamics
50%
Transient Stability Analysis
100%
Engineering
Eigenfunction
75%
Eigenvalue
25%
Numerical Experiment
25%
Power Engineering
100%
Reproducing Kernel Hilbert Space
25%
Stability Analysis
100%
Stable Equilibrium
25%
Systems Dynamics
50%
Transients
100%
Mathematics
Eigenfunction
100%
Eigenvalue
33%
Hilbert Space
33%
Numerical Experiment
33%
Stability Analysis
100%
Stable Equilibrium
33%
Time Average
33%