Temperature-sensitive Demand Forecasting

Temperature-Sensitive Demand Forecasting is a specialized form of energy demand forecasting that explicitly models and predicts variations in energy consumption driven by fluctuations in ambient temperature, distinguishing itself through its focus on the thermally induced component of demand behavior.

16

Publications

1.2K

Citations

42

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

42

  1. MH
    M. Hekkenberg

    University of Groningen, Netherlands

    2 publications · 213 citations

    2

    h-index

  2. AS
    A.J.M. Schoot Uiterkamp

    University of Groningen, Netherlands

    2 publications · 213 citations

    2

    h-index

  3. HC
    Henri C. Moll

    University of Groningen, Netherlands

    2 publications · 213 citations

    2

    h-index

  4. EV
    Enric Valor

    Universitat de València, Spain

    1 publications · 310 citations

    1

    h-index

  5. FP
    Frédéric Proïa

    Institut de Mathématiques de Bordeaux, France

    1 publications · 23 citations

    1

    h-index

1–5 of 42

Venues

  1. Energy Economics

    2 publications · 286 citations

    2

    h-index

  2. Energy

    1 publications · 103 citations

    1

    h-index

  3. Soft Computing

    1 publications · 13 citations

    1

    h-index

  4. Journal of Forecasting

    1 publications · 63 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 51 citations

    1

    h-index

1–5