Statistical Wind Forecasting

Statistical Wind Forecasting is a wind forecasting methodology that employs statistical models to predict wind conditions based on historical and observational data, distinguishing itself from physical or hybrid approaches by relying exclusively on empirical relationships and stochastic patterns derived from data.

136

Publications

9.1K

Citations

451

Authors

208

Institutions

Publications per year

2017–2026

60

Authors

451

  1. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    5 publications · 221 citations

    5

    h-index

  2. NH
    Nikos Hatziargyriou

    National Technical University of Athens, Greece

    4 publications · 723 citations

    4

    h-index

  3. HL
    Hui Liu

    Central South University, China

    4 publications · 592 citations

    4

    h-index

  4. VM
    Valérie Monbet

    Institut de recherche mathématique de Rennes, France

    3 publications · 200 citations

    3

    h-index

  5. PA
    Pierre Ailliot

    Université de Bretagne Occidentale, France

    3 publications · 200 citations

    3

    h-index

1–5 of 451

Venues

  1. Energy

    14 publications · 1.4K citations

    13

    h-index

  2. Renewable Energy

    12 publications · 1.1K citations

    12

    h-index

  3. Energy Conversion and Management

    11 publications · 795 citations

    11

    h-index

  4. Applied Energy

    8 publications · 849 citations

    8

    h-index

  5. 6

    h-index

1–5