System Sizing Optimization

System Sizing Optimization is a systematic methodology within hybrid renewable energy systems engineering that determines the optimal configuration and capacity of energy generation, storage, and conversion components to meet specified performance, economic, and reliability criteria under variable resource conditions.

1.7K

Publications

111.7K

Citations

4.7K

Authors

1.4K

Institutions

Publications per year

2017–2026

1K

Authors

4.7K

  1. AM
    Akbar Maleki

    University of Tehran, Iran

    27 publications · 3.5K citations

    24

    h-index

  2. TK
    Tamer Khatib

    An-Najah National University, Palestinian Territories

    20 publications · 1.2K citations

    17

    h-index

  3. FJ
    Francisco Jurado

    Universidad de Jaén, Spain

    16 publications · 1K citations

    15

    h-index

  4. SK
    Salah Kamel

    Aswan University, Egypt

    14 publications · 564 citations

    13

    h-index

  5. KS
    Kamaruzzaman Sopian

    National University of Malaysia, Malaysia

    12 publications · 795 citations

    12

    h-index

1–5 of 4.7K

Venues

  1. Renewable Energy

    109 publications · 11.8K citations

    62

    h-index

  2. Applied Energy

    101 publications · 10.1K citations

    58

    h-index

  3. Energy

    107 publications · 8.1K citations

    55

    h-index

  4. Energy Conversion and Management

    83 publications · 7.4K citations

    49

    h-index

  5. Solar Energy

    61 publications · 7.7K citations

    43

    h-index

1–5