Demand Prediction

Demand Prediction is a computational method that distinguishes itself by forecasting future resource requirements in elastic systems based on historical and contextual data to enable proactive scaling decisions.

727

Publications

34.6K

Citations

2.2K

Authors

829

Institutions

Publications per year

2017–2026

502

Authors

2.2K

  1. LY
    Lina Yao

    UNSW Sydney, Australia

    9 publications · 533 citations

    9

    h-index

  2. LS
    Leilei Sun

    Beihang University, China

    8 publications · 818 citations

    9

    h-index

  3. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    9 publications · 838 citations

    9

    h-index

  4. LB
    Lei Bai

    Shanghai Artificial Intelligence Laboratory

    7 publications · 505 citations

    7

    h-index

  5. HY
    Huaxiu Yao

    Pennsylvania State University, United States

    6 publications · 2.3K citations

    6

    h-index

1–5 of 2.2K

Venues

  1. 18

    h-index

  2. Sustainability

    15 publications · 437 citations

    14

    h-index

  3. IEEE Access

    13 publications · 403 citations

    13

    h-index

  4. Applied Sciences

    11 publications · 449 citations

    12

    h-index

  5. Energies

    11 publications · 267 citations

    12

    h-index

1–5