Probabilistic Wind Forecasting

Probabilistic Wind Forecasting is a wind forecasting methodology that characterizes future wind conditions in terms of probability distributions to quantify predictive uncertainty, distinguishing itself from deterministic approaches by providing a range of possible outcomes with associated likelihoods.

272

Publications

20.3K

Citations

767

Authors

319

Institutions

Publications per year

2017–2026

159

Authors

767

  1. PP
    Pierre Pinson

    Technical University of Denmark, Denmark

    12 publications · 2.1K citations

    11

    h-index

  2. RJ
    Ricardo J. Bessa

    INESC TEC, Portugal

    11 publications · 1.2K citations

    11

    h-index

  3. GK
    Georges Kariniotakis

    Centre Procédés, Energies Renouvelables et Systèmes Energétiques, France

    8 publications · 1.2K citations

    8

    h-index

  4. ZZ
    Zhi Zhou

    Argonne National Laboratory, United States

    6 publications · 521 citations

    6

    h-index

  5. TG
    Tilmann Gneiting

    University of Washington, United States

    6 publications · 1.3K citations

    6

    h-index

1–5 of 767

Venues

  1. Applied Energy

    27 publications · 3.1K citations

    24

    h-index

  2. Renewable Energy

    29 publications · 2K citations

    23

    h-index

  3. Energy

    22 publications · 1.5K citations

    19

    h-index

  4. Energy Conversion and Management

    17 publications · 1.4K citations

    16

    h-index

  5. IEEE Transactions on Sustainable Energy

    TSTE · 15 publications · 1.2K citations

    15

    h-index

1–5