Probabilistic Wind Modeling

Probabilistic Wind Modeling is a computational framework that characterizes wind climate by quantifying uncertainties in wind speed, direction, and spatial distribution through statistical and probabilistic methods, distinguishing it from deterministic approaches by explicitly accounting for variability and stochasticity in atmospheric flow conditions.

182

Publications

8.7K

Citations

498

Authors

242

Institutions

Publications per year

2017–2026

55

Authors

498

  1. ES
    Emil Simiu

    National Institute of Standards and Technology, United States

    6 publications · 409 citations

    6

    h-index

  2. QY
    Qingshan Yang

    Chongqing University, China

    3 publications · 108 citations

    3

    h-index

  3. DK
    Demetris Koutsoyiannis

    National Technical University of Athens, Greece

    3 publications · 97 citations

    3

    h-index

  4. MG
    Mark G. Stewart

    University of Newcastle Australia, Australia

    3 publications · 205 citations

    3

    h-index

  5. NM
    Nurulkamal Masseran

    National University of Malaysia, Malaysia

    3 publications · 234 citations

    3

    h-index

1–5 of 498

Venues

  1. 21

    h-index

  2. Renewable Energy

    17 publications · 880 citations

    16

    h-index

  3. Energy

    9 publications · 492 citations

    9

    h-index

  4. Applied Energy

    7 publications · 717 citations

    7

    h-index

  5. Energy Conversion and Management

    6 publications · 522 citations

    6

    h-index

1–5