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Recently, channel-independent methods have achieved state-of-the-art performance in multivariate time series (MTS) forecasting.
Generalized harmonic analysis
Norbert Wiener · 1930
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Large bayesian vector auto regressions
Domenico Giannone, Martha Banbura, and Lucrezia Reichlin · 2010
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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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Spectral temporal graph neural network for multivariate time-series forecasting
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, and Qi Zhang · 2020
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Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
Chao Song, Youfang Lin, S. Guo, and Huaiyu Wan · 2020
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Connecting the dots: Multivariate time series forecasting with graph neural networks
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, and Chengqi Zhang · 2020
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Long-range transformers for dynamic spatiotemporal forecasting
Jake Grigsby, Zhe Wang, Nam Nguyen, and Yanjun Qi · 2021
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
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Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Reversible instance normalization for accurate time-series forecasting against distribution shift
Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, and Jaegul Choo · 2022
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Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, and Schahram Dustdar · 2022
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FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
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Tsmixer: An all-mlp architecture for time series forecasting
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan O. Arik, and Tomas Pfister · 2023
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Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2023
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Dish-ts: A general paradigm for alleviating distribution shift in 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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Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, and Rong Jin · 2023
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TEMPO: Prompt-based generative pre-trained transformer for time series forecasting
Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, and Yan Liu · 2024
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Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting
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Lu Han, Han-Jia Ye, and De-Chuan Zhan · 2023
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Witran: Water-wave information transmission and recurrent acceleration network for long-range time series forecasting
Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, and Huaiyu Wan · 2023
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Basisformer: Attention-based time series forecasting with learnable and interpretable basis
Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, and Weiyao Lin · 2023
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A time series is worth 64 words: Long-term forecasting with transformers
Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2023
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Timesnet: Temporal 2d-variation modeling for general time series analysis
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Fits: Modeling time series with 10 k 10k parameters
Zhijian Xu, Ailing Zeng, and Qiang Xu · 2023
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Revisiting long-term time series forecasting: An investigation on linear mapping
Zhe Li, Shiyi Qi, Yiduo Li, and Zenglin Xu
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MG-TSD: Multi-granularity time series diffusion models with guided learning process
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Time-LLM: Time series forecasting by reprogramming large language models
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Multi-resolution diffusion models for time series forecasting
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