A novel extreme adaptive GRU for multivariate time series forecasting
Abstract Multivariate time series forecasting is a critical problem in many real-world scenarios. Recent advances in deep learning have significantly enhanced the ability to tackle such problems. However, a primary challenge in time series forecasting comes from the imbalanced time series data that...
Main Authors: | Yifan Zhang, Rui Wu, Sergiu M. Dascalu, Frederick C. Harris |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-53460-y |
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