Wind Forecasting Feature Selection

Wind Forecasting Feature Selection is the systematic process of identifying and retaining the most relevant input variables or predictors from meteorological, geographical, and historical wind data to improve the accuracy and efficiency of wind power or speed prediction models.

95

Publications

6.8K

Citations

338

Authors

152

Institutions

Publications per year

2017–2026

75

Authors

338

  1. JW
    Jujie Wang

    Nanjing University of Information Science and Technology, China

    5 publications · 221 citations

    5

    h-index

  2. NG
    Noradin Ghadimi

    Islamic Azad University Ardabil, Iran

    4 publications · 615 citations

    4

    h-index

  3. WF
    Wenlong Fu

    China Three Gorges University, China

    3 publications · 477 citations

    3

    h-index

  4. YZ
    Yongning Zhao

    China Agricultural University, China

    3 publications · 225 citations

    3

    h-index

  5. LY
    Lin Ye

    China Agricultural University, China

    3 publications · 225 citations

    3

    h-index

1–5 of 338

Venues

  1. Renewable Energy

    11 publications · 753 citations

    10

    h-index

  2. Energy Conversion and Management

    9 publications · 1K citations

    9

    h-index

  3. Energy

    11 publications · 720 citations

    9

    h-index

  4. Applied Energy

    6 publications · 721 citations

    6

    h-index

  5. Expert Systems with Applications

    5 publications · 149 citations

    5

    h-index

1–5