Industrial Load Forecasting

Industrial Load Forecasting is a specialized form of load forecasting that specifically predicts electricity demand within industrial sectors by accounting for unique operational patterns, production schedules, and energy-intensive processes distinguishing it from commercial or residential load forecasting.

95

Publications

4.8K

Citations

275

Authors

117

Institutions

Publications per year

2017–2026

59

Authors

275

  1. YK
    Yang Kong

    Shandong University of Science and Technology, China

    3 publications · 633 citations

    3

    h-index

  2. YG
    Yongsheng Guo

    Changsha University of Science and Technology, China

    3 publications · 633 citations

    3

    h-index

  3. XC
    Xiaoqiao Chen

    South China Normal University, China

    3 publications · 633 citations

    3

    h-index

  4. JC
    Jun Chen

    California Institute of Technology, United States

    3 publications · 633 citations

    3

    h-index

  5. AB
    Antonio Bracale

    University of Naples Federico II, Italy

    3 publications · 103 citations

    3

    h-index

1–5 of 275

Venues

  1. Energy

    11 publications · 841 citations

    11

    h-index

  2. Applied Energy

    4 publications · 287 citations

    5

    h-index

  3. Energies

    4 publications · 106 citations

    5

    h-index

  4. 5

    h-index

  5. Electric Power Systems Research

    4 publications · 202 citations

    4

    h-index

1–5