Curtailment Modeling

Curtailment Modeling is a computational framework within energy systems analysis that specifically represents and predicts the deliberate reduction of electricity generation or consumption under operational constraints, distinguishing it from general load or generation forecasting models by its focus on controlled, often policy- or grid-induced, curtailment events.

164

Publications

8.1K

Citations

510

Authors

230

Institutions

Publications per year

2017–2026

86

Authors

510

  1. LS
    Lennart Söder

    KTH Royal Institute of Technology, Sweden

    4 publications · 141 citations

    4

    h-index

  2. MO
    Mark O’Malley

    University College Dublin, Ireland

    4 publications · 751 citations

    4

    h-index

  3. YM
    Yong Min

    Tsinghua University, China

    4 publications · 333 citations

    4

    h-index

  4. LC
    Lei Chen

    Tsinghua University, China

    4 publications · 333 citations

    4

    h-index

  5. QC
    Qun Chen

    Tsinghua University, China

    4 publications · 333 citations

    4

    h-index

1–5 of 510

Venues

  1. IEEE Transactions on Sustainable Energy

    TSTE · 11 publications · 1.1K citations

    12

    h-index

  2. IEEE Transactions on Power Systems

    10 publications · 1.1K citations

    10

    h-index

  3. Applied Energy

    8 publications · 651 citations

    9

    h-index

  4. Energy

    8 publications · 487 citations

    8

    h-index

  5. Energies

    5 publications · 159 citations

    5

    h-index

1–5