The Series-cOre Fused Time Series forecaster (SOFTS) incorporates a novel STar Aggregate-Dispatch (STAD) module, aiming to outperform other models dealing with multivariate time series forecasting. ### Key Findings - SOFTS offers superior performance over existing models through its centralized aggregation-dispatch strategy. - Demonstrates linear complexity and applicability across various forecasting domains. ### Why It’s Important SOFTS showcases an innovative approach to managing channel interactions, which could dramatically advance the forecasting field, making it relevant for high-channel data scenarios such as traffic management or financial markets.