Ensemble Demand Forecasting

Ensemble Demand Forecasting is a demand forecasting method that integrates multiple individual forecasting models into a unified prediction system to improve accuracy and robustness by leveraging the strengths of diverse model structures and reducing reliance on any single modeling approach.

59

Publications

2.7K

Citations

218

Authors

131

Institutions

Publications per year

2017–2026

52

Authors

218

  1. BA
    Berna Atak Bülbül

    Doğuş University, Türkiye

    2 publications · 225 citations

    2

    h-index

  2. MS
    Mahya Seyedan

    Concordia University, Canada

    2 publications · 94 citations

    2

    h-index

  3. CL
    Cheng Lyu

    Southeast University, China

    2 publications · 93 citations

    2

    h-index

  4. AO
    A. Okay Akyuz

    Doğuş University, Türkiye

    2 publications · 225 citations

    2

    h-index

  5. NM
    N. Mithulananthan

    The University of Queensland, Australia

    2 publications · 112 citations

    2

    h-index

1–5 of 218

Venues

  1. IEEE Access

    4 publications · 118 citations

    4

    h-index

  2. Complexity

    2 publications · 235 citations

    2

    h-index

  3. Energy

    2 publications · 37 citations

    2

    h-index

  4. Journal of Air Transport Management

    2 publications · 216 citations

    2

    h-index

  5. 2

    h-index

1–5