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Time series forecasting is widely used in extensive applications, such as traffic planning and weather forecasting.
Time series analysis, forecasting and control
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Attention is all you need
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Modeling long-and short-term temporal patterns with deep neural networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang, and Hanxiao Liu · 2018
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Informer: Beyond efficient transformer for long sequence time-series forecasting
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Fnet: Mixing tokens with fourier transforms
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Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, and Jian Li · 2022
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N-hits: Neural hierarchical interpolation for time series forecasting
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Tsmixer: An all-mlp architecture for time series forecasting
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MLP-Mixer: An all-MLP architecture for vision
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Deep learning on traffic prediction: Methods, analysis, and future directions
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SCINet: time series modeling and forecasting with sample convolution and interaction
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Mts-mixers: Multivariate time series forecasting via factorized temporal and channel mixing
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A time series is worth 64 words: Long-term forecasting with transformers
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Scaleformer: iterative multi-scale refining trans- formers for time series forecasting
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Are transformers effective for time series forecasting?
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Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting
Yunhao Zhang and Junchi Yan · 2023
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