Channel-wise Retrieval for Multivariate Time Series Forecasting

Researchers have introduced a channel-wise retrieval method for multivariate time series forecasting to better capture long-range dependencies. By retrieving relevant historical data segments through a channel-specific approach, this technique improves prediction accuracy in complex datasets where traditional fixed lookback windows often fail.