Energy Demand Forecasting

Energy Demand Forecasting is a predictive analytic process within energy resource management that estimates future energy consumption patterns by applying quantitative models and historical data to support strategic planning and operational decision-making.

7K

Publications

432.9K

Citations

18.8K

Authors

3.8K

Institutions

Publications per year

2017–2026

4.2K

Authors

18.8K

  1. SW
    Sung Wook Baik

    Sejong University, South Korea

    20 publications · 2.4K citations

    19

    h-index

  2. AA
    A. Azadeh

    University of Tehran, Iran

    23 publications · 2K citations

    18

    h-index

  3. TH
    Tao Hong

    University of North Carolina at Charlotte, United States

    20 publications · 2.3K citations

    18

    h-index

  4. XM
    Xin Ma

    Southwest University of Science and Technology, China

    19 publications · 1.3K citations

    17

    h-index

  5. JW
    Jianzhou Wang

    Lanzhou University, China

    18 publications · 1.6K citations

    17

    h-index

1–5 of 18.8K

Venues

  1. Energy

    561 publications · 53.3K citations

    123

    h-index

  2. Applied Energy

    371 publications · 35.9K citations

    105

    h-index

  3. Energy Policy

    210 publications · 21.7K citations

    84

    h-index

  4. Energy and Buildings

    234 publications · 22.5K citations

    82

    h-index

  5. IEEE Transactions on Power Systems

    104 publications · 14.2K citations

    63

    h-index

1–5