HTV-Trans is a novel model that effectively captures non-stationarity and stochasticity in multivariate time series forecasting, outperforming other methods.
The author proposes a novel Hierarchical Time series Variational Transformer (HTV-Trans) to address non-stationarity and stochasticity in multivariate time series forecasting, combining a generative module with a transformer for improved performance.