A VAE-GAN generative model combined with sliding-window temporal features and dual decision fusion detects known power events and assigns unseen disturbances to a new class using PMU data.
Statistical feature extraction is used to classify events from PMU data stream [8]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Generative Modeling and Decision Fusion for Unknown Event Detection and Classification Using Synchrophasor Data
A VAE-GAN generative model combined with sliding-window temporal features and dual decision fusion detects known power events and assigns unseen disturbances to a new class using PMU data.