Advancing Time Series Forecasting: The Impact of Bi-Mamba4TS’s Bidirectional State Space Modeling on Long-Term Predictive Accuracy

A novel approach called Bi-Mamba4TS, integrating the state space model with a bidirectional architecture, enhances long-term predictive accuracy in time series forecasting. It utilizes patching techniques to capture evolutionary patterns with finer granularity and outperforms traditional and newer forecasting methods in various datasets.