Energy Storage Optimization

Energy Storage Optimization is a computational framework that systematically determines the most efficient allocation, scheduling, and operation of energy storage systems within a given energy network to minimize losses, balance supply and demand, and enhance overall system performance under varying constraints and objectives.

1.9K

Publications

107.7K

Citations

6.2K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.4K

Authors

6.2K

  1. MK
    Muhammad Khalid

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    12 publications · 557 citations

    12

    h-index

  2. DS
    Daniel S. Kirschen

    University of Washington, United States

    11 publications · 1.2K citations

    10

    h-index

  3. GŠ
    Goran Štrbac

    Imperial College London, United Kingdom

    11 publications · 787 citations

    10

    h-index

  4. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    10 publications · 672 citations

    10

    h-index

  5. JP
    João P. S. Catalào

    INESC TEC, Portugal

    11 publications · 753 citations

    10

    h-index

1–5 of 6.2K

Venues

  1. Applied Energy

    169 publications · 14K citations

    68

    h-index

  2. Energy

    160 publications · 9.6K citations

    60

    h-index

  3. Journal of Energy Storage

    271 publications · 11K citations

    55

    h-index

  4. Energy Conversion and Management

    80 publications · 5.6K citations

    45

    h-index

  5. Renewable Energy

    68 publications · 5.2K citations

    41

    h-index

1–5