The paper presents a TFT plus VAE latent-space visualization tool for power-grid event data, reporting that TFT maps run fastest and adapt to varying data shapes better than VAE-based encoders.
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Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
The paper presents a TFT plus VAE latent-space visualization tool for power-grid event data, reporting that TFT maps run fastest and adapt to varying data shapes better than VAE-based encoders.