Regression-based Power Estimation

Regression-Based Power Estimation is a power estimation method that employs regression analysis to model and predict power consumption based on performance or operational metrics, distinguished by its reliance on statistical relationships between observable variables and measured power data.

57

Publications

38.8K

Citations

174

Authors

105

Institutions

Publications per year

2017–2026

16

Authors

174

  1. KE
    Keith E. Muller

    University of North Carolina at Chapel Hill, United States

    3 publications · 297 citations

    3

    h-index

  2. LM
    Lisa M. LaVange

    University of North Carolina at Chapel Hill, United States

    2 publications · 264 citations

    2

    h-index

  3. QM
    Q. M. Jonathan Wu

    University of Windsor, Canada

    2 publications · 48 citations

    2

    h-index

  4. AH
    Abram Hindle

    University of Alberta, Canada

    2 publications · 129 citations

    2

    h-index

  5. GD
    Giovanni De Micheli

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 157 citations

    2

    h-index

1–5 of 174

Venues

  1. 5

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  2. Educational and Psychological Measurement

    2 publications · 50 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. Annales Zoologici Fennici

    1 publications · 14 citations

    1

    h-index

1–5