Fuel Forecasting

Fuel Forecasting is a predictive modeling framework within the domain of fuel dynamics that systematically estimates future fuel consumption, availability, or demand by integrating temporal, operational, and environmental variables to support strategic energy planning and management decisions.

134

Publications

6.9K

Citations

432

Authors

235

Institutions

Publications per year

2017–2026

72

Authors

432

  1. XL
    Xiaohe Li

    Harbin Engineering University, China

    3 publications · 139 citations

    3

    h-index

  2. SA
    Sertaç Akar

    National Laboratory of the Rockies, United States

    2 publications · 738 citations

    2

    h-index

  3. DH
    Daniel Hissel

    Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, France

    2 publications · 214 citations

    2

    h-index

  4. JL
    Jingxian Liu

    Wuhan University of Technology, China

    2 publications · 106 citations

    2

    h-index

  5. ZL
    Zongzhi Li

    Illinois Institute of Technology, United States

    2 publications · 106 citations

    2

    h-index

1–5 of 432

Venues

  1. Ocean Engineering

    9 publications · 800 citations

    9

    h-index

  2. Energy Policy

    9 publications · 1.5K citations

    9

    h-index

  3. Applied Energy

    6 publications · 287 citations

    6

    h-index

  4. Energy

    5 publications · 192 citations

    5

    h-index

  5. Energy Economics

    3 publications · 78 citations

    3

    h-index

1–5