Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics With Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis

Detecting and analyzing complex patterns in multivariate time-series data is crucial for decision-making in urban and environmental system operations. However, challenges arise from the high dimensionality, intricate complexity, and interconnected nature of complex patterns, which hinder the underst...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Haowen Xu, Ali Boyaci, Jianming Lian, Aaron J. Wilson
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Explainable AI visual analytics variational autoencoders multivariate time-series Human-in-the-Loop generative AI
Acesso em linha:	https://ieeexplore.ieee.org/document/11141392/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!