Sectoral Demand Forecasting

Sectoral Demand Forecasting is a specialized method within aggregate demand forecasting that focuses on predicting demand within specific economic sectors by accounting for sector-specific dynamics, thereby enabling more granular and context-sensitive forecasts than economy-wide aggregate models.

29

Publications

933

Citations

92

Authors

64

Institutions

Publications per year

2017–2026

17

Authors

92

  1. CA
    Chris A. Wargo

    Mosaic ATM (United States), United States

    1 publications · 18 citations

    1

    h-index

  2. AH
    Arslan Hussain

    Indus University, Pakistan

    1 publications · 14 citations

    1

    h-index

  3. ID
    Ignacio de Blas

    Universidad de Valladolid, Spain

    1 publications · 32 citations

    1

    h-index

  4. YC
    Yanpeng Cai

    Beijing Normal University, China

    1 publications · 108 citations

    1

    h-index

  5. GB
    George Baourakis

    Mediterranean Agronomic Institute of Chania, Greece

    1 publications · 10 citations

    1

    h-index

1–5 of 92

Venues

  1. Energy

    4 publications · 158 citations

    4

    h-index

  2. 2

    h-index

  3. Energy Policy

    2 publications · 108 citations

    2

    h-index

  4. The Energy Journal

    2 publications · 80 citations

    2

    h-index

  5. Energies

    2 publications · 120 citations

    2

    h-index

1–5