Statistical Load Forecasting

Statistical Load Forecasting is a load forecasting approach that belongs to the class of quantitative methods in which historical load data and statistical models are used to capture temporal patterns, trends, and seasonality for predicting future electricity demand.

200

Publications

10.1K

Citations

662

Authors

293

Institutions

Publications per year

2017–2026

90

Authors

662

  1. YH
    Yaoyao He

    Hefei University of Technology, China

    5 publications · 302 citations

    5

    h-index

  2. SY
    Shanlin Yang

    Hefei University of Technology, China

    3 publications · 186 citations

    3

    h-index

  3. YW
    Yi Wang

    Tsinghua University, China

    2 publications · 115 citations

    2

    h-index

  4. LX
    Li‐Ye Xiao

    University of Electronic Science and Technology of China, China

    2 publications · 297 citations

    2

    h-index

  5. AD
    Anna Diva P. Lotufo

    Universidade Estadual Paulista (Unesp), Brazil

    2 publications · 43 citations

    2

    h-index

1–5 of 662

Venues

  1. Applied Energy

    16 publications · 1.2K citations

    16

    h-index

  2. Energy

    16 publications · 1.4K citations

    14

    h-index

  3. IEEE Transactions on Power Apparatus and Systems

    12 publications · 789 citations

    12

    h-index

  4. Electric Power Systems Research

    10 publications · 611 citations

    10

    h-index

  5. IEEE Transactions on Power Systems

    7 publications · 1.1K citations

    7

    h-index

1–5