Solar Power Forecasting

Solar Power Forecasting is a predictive modeling approach that estimates future solar power generation output by integrating meteorological data and solar irradiance projections with historical plant performance characteristics to support grid integration and energy management decisions.

2.2K

Publications

127.1K

Citations

5.8K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.7K

Authors

5.8K

  1. FW
    Fei Wang

    North China Electric Power University, China

    26 publications · 3.2K citations

    22

    h-index

  2. ZZ
    Zhao Zhen

    North China Electric Power University, China

    21 publications · 2.7K citations

    19

    h-index

  3. JK
    Jan Kleissl

    University of California San Diego, United States

    19 publications · 2.4K citations

    18

    h-index

  4. DY
    Dazhi Yang

    Harbin Institute of Technology, China

    17 publications · 1.1K citations

    17

    h-index

  5. EO
    Emanuèle Ogliari

    Politecnico di Milano, Italy

    20 publications · 1.4K citations

    16

    h-index

1–5 of 5.8K

Venues

  1. Solar Energy

    110 publications · 13.3K citations

    60

    h-index

  2. Energy

    86 publications · 8.9K citations

    55

    h-index

  3. Renewable Energy

    93 publications · 8.3K citations

    53

    h-index

  4. Applied Energy

    74 publications · 7.6K citations

    48

    h-index

  5. Energies

    141 publications · 6.9K citations

    44

    h-index

1–5