External Regressors

External Regressors is a predictive modeling component within global demand forecasting that denotes a set of exogenous variables incorporated into a forecasting model to capture the influence of external factors distinct from the historical demand pattern itself.

38

Publications

1.9K

Citations

105

Authors

67

Institutions

Publications per year

2017–2026

14

Variants

Exogenous Variables

Authors

105

  1. JM
    Josef M. Ling

    University of New Mexico, United States

    1 publications · 42 citations

    1

    h-index

  2. MN
    Mark N. Greene

    1 publications · 13 citations

    1

    h-index

  3. FS
    Fabian Scheller

    Technical University of Denmark, Denmark

    1 publications · 101 citations

    1

    h-index

  4. SA
    Sabrina Afroz

    Jahangirnagar University, Bangladesh

    1 publications · 10 citations

    1

    h-index

  5. BS
    Bent Sørensen

    Roskilde University, Denmark

    1 publications · 11 citations

    1

    h-index

1–5 of 105

Venues

  1. RePEc: Research Papers in Economics

    Repository · 3 publications · 163 citations

    3

    h-index

  2. MIGRATION LETTERS

    1 publications · 15 citations

    1

    h-index

  3. medRxiv

    Repository · 1 publications · 10 citations

    1

    h-index

  4. Deep Blue (University of Michigan)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. Energy Economics

    1 publications · 101 citations

    1

    h-index

1–5