Automatic Forecasting

Automatic Forecasting is a forecasting methodology that systematically automates the selection, calibration, and validation of predictive models with minimal human intervention, distinguishing itself from traditional approaches by its reliance on algorithmic decision-making to optimize model performance across diverse data streams.

119

Publications

10K

Citations

375

Authors

198

Institutions

Publications per year

2017–2026

60

Variants

Automated Forecasting

Authors

375

  1. AB
    André Bauer

    University of Würzburg, Germany

    5 publications · 107 citations

    5

    h-index

  2. NH
    Nikolas Herbst

    University of Würzburg, Germany

    5 publications · 107 citations

    5

    h-index

  3. SK
    Samuel Kounev

    University of Würzburg, Germany

    5 publications · 107 citations

    5

    h-index

  4. MZ
    Marwin Züfle

    University of Würzburg, Germany

    4 publications · 78 citations

    4

    h-index

  5. RJ
    Rob J. Hyndman

    Monash University, Australia

    3 publications · 5.5K citations

    3

    h-index

1–5 of 375

Venues

  1. International Journal of Forecasting

    9 publications · 1.3K citations

    9

    h-index

  2. Expert Systems with Applications

    5 publications · 155 citations

    5

    h-index

  3. Journal of Forecasting

    4 publications · 84 citations

    4

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 77 citations

    3

    h-index

  5. 2

    h-index

1–5