Cloud Forecasting

Cloud Forecasting is a predictive analytics methodology within Cloud Economics that estimates future cloud resource demands, costs, and usage patterns by analyzing historical and real-time data to support capacity planning, budgeting, and economic decision-making in cloud environments.

554

Publications

25.5K

Citations

1.7K

Authors

705

Institutions

Publications per year

2017–2026

319

Authors

1.7K

  1. AK
    Ashutosh Kumar Singh

    National Institute of Technology Kurukshetra, India

    11 publications · 1.3K citations

    11

    h-index

  2. JK
    Jitendra Kumar

    National Institute of Technology Kurukshetra, India

    10 publications · 1.2K citations

    10

    h-index

  3. JB
    Jing Bi

    Beijing University of Technology, China

    9 publications · 403 citations

    9

    h-index

  4. HY
    Haitao Yuan

    Beijing University of Technology, China

    9 publications · 403 citations

    9

    h-index

  5. FW
    Fei Wang

    North China Electric Power University, China

    8 publications · 573 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. Future Generation Computer Systems

    FGCS · 18 publications · 1.7K citations

    16

    h-index

  2. IEEE Access

    17 publications · 604 citations

    16

    h-index

  3. Solar Energy

    14 publications · 1.7K citations

    13

    h-index

  4. Weather and Forecasting

    9 publications · 519 citations

    9

    h-index

  5. The Journal of Supercomputing

    8 publications · 334 citations

    8

    h-index

1–5