Concepedia

Data-driven Performance Modeling

Data-Driven Performance Modeling is a computational framework that belongs to the class of performance modeling methods in power plant analysis and is distinguished by its reliance on empirical data and statistical learning techniques to characterize system behavior without requiring explicit first-principles physical equations.

150

Publications

5.9K

Citations

673

Authors

312

Institutions

Publications per year

2017–2026

117

Parents

Publications

150

Gas turbine performance prediction via machine learning

Zuming Liu, Iftekhar A. Karimi · Energy · 2019 · 197 citations

, , +14

A novel data-driven approach for transient stability prediction of power systems considering the operational variability

Yanzhen Zhou, Qinglai Guo, Hongbin Sun et al. · International Journal of Electrical Power & Energy Systems · 2018 · 136 citations

, , +17

TBM performance prediction with Bayesian optimization and automated machine learning

Qianli Zhang, Weifei Hu, Zhenyu Liu et al. · Tunnelling and Underground Space Technology · 2020 · 130 citations

, , +14

Neural-network based analysis and prediction of a compressor’s characteristic performance map

Youhong Yu, Lingen Chen, Fengrui Sun et al. · Applied Energy · 2006 · 117 citations

, , +14

ANN and ANFIS models to predict the performance of solar chimney power plants

Saeed Amirkhani, Sh. Nasirivatan, Alibakhsh Kasaeian et al. · Renewable Energy · 2015 · 114 citations

, , +10

1–5 of 150

Authors

673

  1. DA
    Davide Astolfi

    University of Perugia, Italy

    5 publications · 130 citations

    5

    h-index

  2. GM
    Ghulam Moeen Uddin

    University of Engineering and Technology Lahore, Pakistan

    3 publications · 137 citations

    3

    h-index

  3. JK
    Jarosław Krzywański

    Jan Długosz University, Poland

    3 publications · 137 citations

    3

    h-index

  4. MH
    Muhammad Haider Ali Khan

    UNSW Sydney, Australia

    3 publications · 137 citations

    3

    h-index

  5. FC
    Francesco Castellani

    University of Perugia, Italy

    3 publications · 66 citations

    3

    h-index

1–5 of 673

Institutions

312

  1. North China Electric Power University

    Beijing, China

    9 h-index

    25 publications

    934 citations

  2. Tsinghua University

    Beijing, China

    6 h-index

    18 publications

    1.1K citations

  3. University of Perugia

    Perugia, Italy

    5 h-index

    10 publications

    235 citations

  4. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    4 h-index

    9 publications

    554 citations

  5. Nanyang Technological University

    Singapore, Singapore

    4 h-index

    10 publications

    351 citations

  6. Arizona State University

    Tempe, United States

    4 h-index

    9 publications

    272 citations

  7. Imperial College London

    London, United Kingdom

    4 h-index

    10 publications

    504 citations

  8. RWTH Aachen University

    Aachen, Germany

    3 h-index

    8 publications

    599 citations

1–8 of 312

Venues

  1. Applied Energy

    13 publications · 763 citations

    13

    h-index

  2. Energy

    8 publications · 386 citations

    8

    h-index

  3. Energies

    7 publications · 247 citations

    7

    h-index

  4. 6

    h-index

  5. Energy and Buildings

    4 publications · 212 citations

    4

    h-index

1–5