Gongzhen Zhang

PatchRNN: A Multi-Scale Decoupled and Structure-Aware Framework for Long-Term Time Series Forecasting

Long-term time series forecasting is important in energy, transportation, and meteorology, yet existing methods struggle to model multi-scale features and preserve local sequence structure. We propose PatchRNN, a decomposition- and structure-aware framework for multivariate forec...