Adaptive Load Forecasting

Adaptive Load Forecasting is a load forecasting method that dynamically adjusts its parameters or structure in response to changing load patterns, system conditions, or external factors to maintain forecasting accuracy over time.

72

Publications

6.1K

Citations

207

Authors

109

Institutions

Publications per year

2017–2026

28

Authors

207

  1. KG
    Katarina Grolinger

    Western University, Canada

    2 publications · 141 citations

    2

    h-index

  2. QL
    Qian Lu

    The University of Texas at Austin, United States

    2 publications · 75 citations

    2

    h-index

  3. MM
    Melba M. Crawford

    Purdue University West Lafayette, United States

    2 publications · 75 citations

    2

    h-index

  4. SL
    S.H. Leung

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 121 citations

    2

    h-index

  5. SM
    Syed Mir

    Western University, Canada

    2 publications · 141 citations

    2

    h-index

1–5 of 207

Venues

  1. IEEE Transactions on Power Systems

    12 publications · 1.7K citations

    12

    h-index

  2. Electric Power Systems Research

    6 publications · 688 citations

    6

    h-index

  3. Applied Energy

    4 publications · 324 citations

    4

    h-index

  4. Energy

    3 publications · 310 citations

    4

    h-index

  5. 4

    h-index

1–5