Adaptive Operational Planning

Adaptive Operational Planning is a methodological framework within operational period management that integrates dynamic environmental feedback and real-time performance metrics to iteratively adjust operational strategies, thereby distinguishing it from static or predictive planning approaches by its capacity for continuous reconfiguration in response to emerging conditions.

11

Publications

566

Citations

42

Authors

21

Institutions

Publications per year

2017–2026

1

Authors

42

  1. DL
    David L. Kleinman

    University of Connecticut, United States

    2 publications · 36 citations

    2

    h-index

  2. MD
    Marie Dahmen

    Technische Universität Berlin, Germany

    1 publications · 59 citations

    1

    h-index

  3. BW
    B-F. Wu

    China Three Gorges Corporation (China), China

    1 publications · 10 citations

    1

    h-index

  4. KR
    Krishna R. Pattipati

    University of Connecticut, United States

    1 publications · 23 citations

    1

    h-index

  5. DL
    David L. Sunding

    University of California, Berkeley, United States

    1 publications · 131 citations

    1

    h-index

1–5 of 42

Venues

  1. IEEE Transactions on Power Systems

    2 publications · 54 citations

    2

    h-index

  2. Systems Engineering

    1 publications · 23 citations

    1

    h-index

  3. Drug Information Journal

    DIA · 1 publications · 84 citations

    1

    h-index

  4. Journal of Applied Ichthyology

    1 publications · 10 citations

    1

    h-index

  5. Environmental Management

    1 publications · 59 citations

    1

    h-index

1–5