Spatial Demand Forecasting

Spatial Demand Forecasting is a predictive modeling approach that estimates the geographic distribution of future demand for products, services, or resources by integrating spatial dependencies, temporal dynamics, and contextual variables within a defined geographic landscape.

50

Publications

2.3K

Citations

171

Authors

84

Institutions

Publications per year

2017–2026

25

Authors

171

  1. JD
    Joel D. Melo

    Universidade Estadual Paulista (Unesp), Brazil

    4 publications · 58 citations

    4

    h-index

  2. AP
    Antonio Padilha‐Feltrin

    Universidade Estadual Paulista (Unesp), Brazil

    3 publications · 45 citations

    3

    h-index

  3. FS
    Filipe Soares

    Universidade do Porto, Portugal

    2 publications · 33 citations

    2

    h-index

  4. XC
    Xiqun Chen

    Zhejiang University, China

    2 publications · 67 citations

    2

    h-index

  5. KB
    Klaus Bogenberger

    Universität der Bundeswehr München, Germany

    2 publications · 63 citations

    2

    h-index

1–5 of 171

Venues

  1. 2

    h-index

  2. Energy

    2 publications · 135 citations

    2

    h-index

  3. IEEE Transactions on Power Systems

    2 publications · 184 citations

    2

    h-index

  4. The Research Repository @ WVU (West Virginia University)

    Repository · 1 publications · 472 citations

    1

    h-index

  5. IEEE Open Journal of Intelligent Transportation Systems

    OJITS · 1 publications · 23 citations

    1

    h-index

1–5