SDHNet: a sampling-based dual-stream hybrid network for long-term time series forecasting

Recently, deep learning models have achieved notable success in long-term time series forecasting. However, real-world time series data typically exhibit complex temporal patterns, characterized by both short-term and long-term variations across multiple time scales. This complexity makes it difficu...

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