Accurate forecasting of time series data is essential in many fields. However, real-world time series are often characterized by noise, non-stationarity and multiscale temporal dependencies, which ...

Time series forecasting is a foundational task in science and engineering, with critical applications ranging from retail demand prediction 1,2,3, traffic flow management 4,5, and energy balancing 6,7 ...