2026
Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting
ICASSP 2026poster
Time series forecasting presents significant challenges in real-world applications across various domains. Building upon the decomposition of the time series, we enhance the architecture of machine learning models for better multivariate time series forecasting. To achieve this, we focus on the tren…