Load Forecasting Evaluation Metrics

Load Forecasting Evaluation Metrics is a scholarly construct denoting a standardized set of quantitative measures used to assess the accuracy, reliability, and predictive performance of load forecasting models by comparing forecasted electrical demand against actual observed values.

35

Publications

2.3K

Citations

129

Authors

61

Institutions

Publications per year

2017–2026

20

Variants

Load Forecasting Performance Metrics

Authors

129

  1. TH
    Tao Hong

    University of North Carolina at Charlotte, United States

    3 publications · 324 citations

    3

    h-index

  2. JX
    Jingrui Xie

    University of North Carolina at Charlotte, United States

    2 publications · 182 citations

    2

    h-index

  3. JZ
    Jie Zhang

    The University of Texas at Dallas, United States

    2 publications · 273 citations

    2

    h-index

  4. RS
    Raffi Sevlian

    Stanford University, United States

    1 publications · 32 citations

    1

    h-index

  5. SV
    S. Valero

    Universitat de Miguel Hernández d'Elx, Spain

    1 publications · 18 citations

    1

    h-index

1–5 of 129

Venues

  1. IEEE Transactions on Smart Grid

    4 publications · 245 citations

    4

    h-index

  2. Applied Energy

    3 publications · 260 citations

    3

    h-index

  3. 2

    h-index

  4. International Journal of Forecasting

    2 publications · 171 citations

    2

    h-index

  5. IEEE Transactions on Power Systems

    2 publications · 73 citations

    2

    h-index

1–5