Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis
Author:
Affiliation:
1. Texas A&M University,Dept of ECEN,College Station,TX,USA
2. Temple University,Computer and Information Sciences,Philadelphia,PA,USA
3. Quanta Technology,Raleigh,NC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9960142/9960289/09960589.pdf?arnumber=9960589
Reference26 articles.
1. Multi-dimensional ringdown modal analysis by filtering
2. A Non-Stationary Analysis of Low-Frequency Electromechanical Oscillations Based on a Refined Margenau-Hill Distribution;hatami;Power Systems IEEE Transactions,2015
3. A Novel Neural Network Approach for Power System Low Frequency Oscillation Mode Identification
4. A Convolution Neural Network Method for Power System Oscillation Type Identification
5. Using Transfer Learning to Distinguish between Natural and Forced Oscillations
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