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Shao et al., 2024 - Google Patents

Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis

Shao et al., 2024

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Document ID
17117023694970177589
Author
Shao Z
Wang F
Xu Y
Wei W
Yu C
Zhang Z
Yao D
Sun T
Jin G
Cao X
Cong G
Jensen C
Cheng X
Publication year
Publication venue
IEEE Transactions on Knowledge and Data Engineering

External Links

Snippet

Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting have been proposed recently. However, we often observe inconsistent or seemingly …
Continue reading at arxiv.org (PDF) (other versions)

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