Multivariate Time Series Forecasting

Multivariate Time Series Forecasting is a time series prediction task that involves forecasting future values of multiple interdependent variables based on their jointly observed historical trajectories, distinguished from univariate forecasting by modeling the dynamic relationships among multiple variables.

866

Publications

55.9K

Citations

2.4K

Authors

938

Institutions

Publications per year

2017–2026

506

Variants

Multivariate Time Series Prediction

Authors

2.4K

  1. MH
    Min Han

    Dalian University of Technology, China

    16 publications · 833 citations

    14

    h-index

  2. MX
    Meiling Xu

    Dalian University of Technology, China

    7 publications · 507 citations

    7

    h-index

  3. XS
    Xuan Song

    The University of Tokyo, Japan

    6 publications · 406 citations

    6

    h-index

  4. RJ
    Renhe Jiang

    The University of Tokyo, Japan

    6 publications · 406 citations

    6

    h-index

  5. WR
    Weijie Ren

    Dalian University of Technology, China

    6 publications · 254 citations

    6

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 43 publications · 2.2K citations

    24

    h-index

  2. Expert Systems with Applications

    23 publications · 2.1K citations

    21

    h-index

  3. Neurocomputing

    20 publications · 2K citations

    18

    h-index

  4. Journal of Forecasting

    18 publications · 455 citations

    15

    h-index

  5. IEEE Access

    16 publications · 645 citations

    14

    h-index

1–5