Probabilistic Capacity Forecasting

Probabilistic Capacity Forecasting is a forecasting paradigm that, as a distinct approach within capacity forecasting, employs probabilistic models to quantify uncertainty in future capacity estimates by generating predictive distributions rather than point predictions.

8

Publications

389

Citations

21

Authors

10

Institutions

Publications per year

2017–2026

0

Authors

21

  1. MH
    Mark Hansen

    University of California, Berkeley, United States

    2 publications · 50 citations

    2

    h-index

  2. GB
    Gurkaran Buxi

    University of California, Berkeley, United States

    2 publications · 50 citations

    2

    h-index

  3. SB
    S. Bouwman

    Tennet (Netherlands), Netherlands

    1 publications · 154 citations

    1

    h-index

  4. LC
    Lara Cook

    Mosaic ATM (United States), United States

    1 publications · 24 citations

    1

    h-index

  5. CA
    Carl A. Mauro

    GDA (United States), United States

    1 publications · 14 citations

    1

    h-index

1–5 of 21

Venues

  1. Renewable Energy

    1 publications · 82 citations

    1

    h-index

  2. 1

    h-index

  3. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. AIAA Guidance, Navigation, and Control Conference

    Conference · 1 publications · 14 citations

    1

    h-index

  5. IEEE Transactions on Power Systems

    1 publications · 154 citations

    1

    h-index

1–5