Regression-based Performance Analysis

Regression-Based Performance Analysis is a systematic methodology within power plant performance analysis that employs regression techniques to model and predict plant efficiency and output characteristics by statistically relating operational variables to performance indicators, distinguishing itself through its reliance on empirical data-driven relationships rather than first-principles physical models.

80

Publications

4.1K

Citations

259

Authors

152

Institutions

Publications per year

2017–2026

37

Authors

259

  1. KC
    King Chun Foo

    Queen's University, Canada

    3 publications · 93 citations

    3

    h-index

  2. PF
    Parminder Flora

    Queen's University, Canada

    2 publications · 80 citations

    2

    h-index

  3. ZM
    Zhen Ming Jiang

    Queen's University, Canada

    2 publications · 80 citations

    2

    h-index

  4. ED
    Emery D. Berger

    University of Massachusetts Amherst, United States

    2 publications · 102 citations

    2

    h-index

  5. FD
    Frans de Roon

    Tilburg University, Netherlands

    2 publications · 25 citations

    2

    h-index

1–5 of 259

Venues

  1. Energy

    6 publications · 151 citations

    6

    h-index

  2. Expert Systems with Applications

    3 publications · 106 citations

    3

    h-index

  3. Geothermics

    2 publications · 63 citations

    2

    h-index

  4. Applied Energy

    2 publications · 187 citations

    2

    h-index

  5. International Journal of Engine Research

    2 publications · 48 citations

    2

    h-index

1–5