Spatial Load Forecasting

Spatial Load Forecasting is a type of load forecasting methodology that specifically incorporates geographic distribution and locational variations in electricity demand to predict spatially disaggregated power loads at regional or sub-regional levels.

69

Publications

2.2K

Citations

202

Authors

75

Institutions

Publications per year

2017–2026

30

Authors

202

  1. AP
    Antonio Padilha‐Feltrin

    Universidade Estadual Paulista (Unesp), Brazil

    9 publications · 185 citations

    9

    h-index

  2. JD
    Joel D. Melo

    Universidade Estadual Paulista (Unesp), Brazil

    8 publications · 145 citations

    8

    h-index

  3. EM
    Edgar Manuel Carreño Franco

    Universidade Estadual do Oeste do Paraná, Brazil

    5 publications · 135 citations

    5

    h-index

  4. MC
    Mo–Yuen Chow

    North Carolina State University, United States

    4 publications · 185 citations

    4

    h-index

  5. HT
    H. Tram

    Westinghouse Electric (United States), United States

    4 publications · 186 citations

    4

    h-index

1–5 of 202

Venues

  1. IEEE Transactions on Power Systems

    8 publications · 459 citations

    8

    h-index

  2. Electric Power Systems Research

    5 publications · 135 citations

    5

    h-index

  3. 5

    h-index

  4. Energy

    4 publications · 177 citations

    4

    h-index

  5. Proceedings of the CSEE

    4 publications · 72 citations

    4

    h-index

1–5