Load Profile Forecasting

Load Profile Forecasting is a methodological framework within energy demand forecasting that specifically predicts the temporal distribution of electrical load at the individual or aggregate consumer level over time, distinguishing itself by capturing characteristic usage patterns and variations across different periods, sectors, or customer segments.

162

Publications

8.4K

Citations

534

Authors

233

Institutions

Publications per year

2017–2026

81

Authors

534

  1. GJ
    George J. Tsekouras

    National Technical University of Athens, Greece

    3 publications · 396 citations

    3

    h-index

  2. AG
    Ayandeep Ganguly

    Jadavpur University, India

    2 publications · 30 citations

    2

    h-index

  3. VH
    Veit Hagenmeyer

    Karlsruhe Institute of Technology, Germany

    2 publications · 81 citations

    2

    h-index

  4. SH
    Sekyung Han

    Kyungpook National University, South Korea

    2 publications · 64 citations

    2

    h-index

  5. KB
    Karen Byskov Lindberg

    Norwegian University of Science and Technology, Norway

    2 publications · 128 citations

    2

    h-index

1–5 of 534

Venues

  1. IEEE Transactions on Power Systems

    10 publications · 1.3K citations

    10

    h-index

  2. IEEE Transactions on Smart Grid

    9 publications · 1K citations

    9

    h-index

  3. Energy

    8 publications · 510 citations

    8

    h-index

  4. Applied Energy

    8 publications · 746 citations

    8

    h-index

  5. 4

    h-index

1–5