Utility Demand Forecasting

Utility Demand Forecasting is a systematic method within the domain of utilities management that employs predictive analytics to estimate future consumption requirements of essential services such as electricity, water, and gas by analyzing historical usage patterns, socioeconomic variables, and infrastructure constraints.

49

Publications

2.4K

Citations

132

Authors

57

Institutions

Publications per year

2017–2026

6

Authors

132

  1. AH
    Aya Hagishima

    Kyushu University, Japan

    3 publications · 70 citations

    3

    h-index

  2. JT
    Jun Tanimoto

    Kyushu University, Japan

    3 publications · 70 citations

    3

    h-index

  3. HL
    H. Lee Willis

    Quanta Technology (United States), United States

    2 publications · 207 citations

    2

    h-index

  4. MR
    Michael R. Veall

    McMaster University, Canada

    2 publications · 50 citations

    2

    h-index

  5. EB
    E.H. Barakat

    Société Tunisienne de l'Electricité et du Gaz (Tunisia), Tunisia

    2 publications · 98 citations

    2

    h-index

1–5 of 132

Venues

  1. American Water Works Association

    4 publications · 120 citations

    4

    h-index

  2. 4

    h-index

  3. IEEE Power Engineering Review

    3 publications · 103 citations

    3

    h-index

  4. 3

    h-index

  5. Journal of Building Performance Simulation

    3 publications · 70 citations

    3

    h-index

1–5