Probabilistic Load Estimation

Probabilistic Load Estimation is a computational method in load calculation that distinguishes itself by quantifying uncertainty in demand predictions through statistical distributions and stochastic modeling.

223

Publications

11.4K

Citations

591

Authors

272

Institutions

Publications per year

2017–2026

95

Authors

591

  1. TH
    Tao Hong

    University of North Carolina at Charlotte, United States

    4 publications · 507 citations

    4

    h-index

  2. JV
    Jovica V. Milanović

    University of Manchester, United Kingdom

    4 publications · 240 citations

    4

    h-index

  3. YW
    Yi Wang

    Tsinghua University, China

    4 publications · 371 citations

    4

    h-index

  4. EC
    Enrico Carpaneto

    Politecnico di Torino, Italy

    3 publications · 149 citations

    3

    h-index

  5. PD
    P.S. Dokopoulos

    Aristotle University of Thessaloniki, Greece

    3 publications · 91 citations

    3

    h-index

1–5 of 591

Venues

  1. IEEE Transactions on Power Systems

    16 publications · 1.3K citations

    15

    h-index

  2. 13

    h-index

  3. Electric Power Systems Research

    11 publications · 652 citations

    11

    h-index

  4. International Journal of Forecasting

    10 publications · 711 citations

    10

    h-index

  5. Energy

    9 publications · 565 citations

    10

    h-index

1–5