Load Clustering

Load Clustering is a data-driven methodology in load forecasting that partitions electrical consumption patterns into distinct groups based on similarity in temporal usage profiles, enabling improved prediction accuracy through segmentation of heterogeneous demand behaviors.

351

Publications

16.6K

Citations

1.1K

Authors

370

Institutions

Publications per year

2017–2026

186

Authors

1.1K

  1. GC
    Gianfranco Chicco

    Politecnico di Torino, Italy

    18 publications · 1.8K citations

    17

    h-index

  2. RN
    Roberto Napoli

    Politecnico di Torino, Italy

    9 publications · 777 citations

    9

    h-index

  3. IP
    Ioannis P. Panapakidis

    University of Western Macedonia, Greece

    8 publications · 176 citations

    8

    h-index

  4. ZV
    Zita Vale

    Polytechnic Institute of Porto, Portugal

    8 publications · 666 citations

    8

    h-index

  5. MS
    M. Scutariu

    Politecnico di Torino, Italy

    7 publications · 634 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Power Systems

    21 publications · 2.6K citations

    19

    h-index

  2. Energies

    22 publications · 653 citations

    16

    h-index

  3. IEEE Access

    16 publications · 700 citations

    15

    h-index

  4. Energy

    11 publications · 1K citations

    11

    h-index

  5. IEEE Transactions on Smart Grid

    11 publications · 1.5K citations

    11

    h-index

1–5