Online Prediction

Online Prediction is a predictive modeling approach that generates forecasts incrementally as new data points arrive, distinguishing itself from batch methods by updating predictions in real time without requiring full retraining on historical data.

786

Publications

40K

Citations

2.7K

Authors

936

Institutions

Publications per year

2017–2026

410

Variants

Incremental Prediction

Authors

2.7K

  1. YL
    Yi Liu

    Zhejiang University of Technology, China

    11 publications · 295 citations

    10

    h-index

  2. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    8 publications · 368 citations

    8

    h-index

  3. ZG
    Zengliang Gao

    Zhejiang University of Technology, China

    7 publications · 153 citations

    7

    h-index

  4. SC
    Steven C. H. Hoi

    Nanyang Technological University, Singapore

    6 publications · 1.1K citations

    6

    h-index

  5. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    5 publications · 158 citations

    5

    h-index

1–5 of 2.7K

Venues

  1. arXiv (Cornell University)

    Repository · 35 publications · 1.9K citations

    20

    h-index

  2. IEEE Access

    18 publications · 521 citations

    17

    h-index

  3. Industrial & Engineering Chemistry Research

    14 publications · 797 citations

    13

    h-index

  4. IEEE Transactions on Power Systems

    10 publications · 649 citations

    10

    h-index

  5. IEEE Transactions on Industrial Informatics

    10 publications · 810 citations

    10

    h-index

1–5