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RMTSFMC: A reverse multi-scale time series forecasting method with Mamba and 1D-CNN
DOI:10.1016/j.asoc.2026.116031.png)
Abstract
En 中文
• We introduce a Reverse Encoding mechanism across time scales, achieving diverse temporal resolutions and enriching information at scales of varying resolutions. • We design a Multi-Scale Feature Extractor with 1DCNN and Mamba to extract local and global features, improving temporal modeling and feature extraction. • We design a Future Hybrid Prediction module that projects time-encoded features at different scales onto the same prediction space for complementary outputs.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W

