A GAN trained on generator-bus voltage waveforms produces network-wide synthetic PMU measurements that statistically resemble simulated transients and improve event classification accuracy.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach
A GAN trained on generator-bus voltage waveforms produces network-wide synthetic PMU measurements that statistically resemble simulated transients and improve event classification accuracy.