STDPatch: A Three-Stream Framework for Long-Term Time Series Forecasting via SG-Filter-Based Decomposition and Patch Refactor
STDPatch is proposed, a novel three-stream forecasting framework that combines structural decomposition with architecture specialization that consistently outperforms state-of-the-art methods for long-term time series forecasting.