Demand Forecasting

Demand forecasting is an analytical method within supply chain management that predicts the quantity of goods or services customers will demand during a future period based on historical data, market trends, and quantitative or qualitative techniques.

8K

Publications

451.4K

Citations

19.2K

Authors

4.1K

Institutions

Publications per year

2017–2026

3.2K

Authors

19.2K

  1. HS
    Haiyan Song

    Hong Kong Polytechnic University, Hong Kong SAR China

    41 publications · 6.5K citations

    33

    h-index

  2. JE
    John E. Boylan

    Buckinghamshire New University, United Kingdom

    26 publications · 2.2K citations

    21

    h-index

  3. RL
    Rob Law

    Hong Kong Polytechnic University, Hong Kong SAR China

    24 publications · 3.2K citations

    20

    h-index

  4. SW
    Shouyang Wang

    Chinese Academy of Sciences, China

    18 publications · 792 citations

    18

    h-index

  5. GL
    Gang Li

    University of Surrey, United Kingdom

    17 publications · 3.4K citations

    17

    h-index

1–5 of 19.2K

Venues

  1. Applied Energy

    178 publications · 19K citations

    76

    h-index

  2. Energy

    201 publications · 17.9K citations

    74

    h-index

  3. IEEE Transactions on Power Systems

    144 publications · 17.7K citations

    68

    h-index

  4. IEEE Transactions on Smart Grid

    98 publications · 11.1K citations

    60

    h-index

  5. Energy Policy

    97 publications · 9.9K citations

    56

    h-index

1–5

See also

Demand Forecasting

Core Methods

Evaluation

Applications

Data Inputs

Limitations