Forecast-based Pricing

Forecast-Based Pricing is a cloud pricing model that belongs to the class of predictive resource allocation strategies, distinguished by its reliance on demand forecasting techniques to dynamically set prices based on anticipated usage patterns and capacity requirements.

68

Publications

4.2K

Citations

190

Authors

103

Institutions

Publications per year

2017–2026

20

Authors

190

  1. IL
    Iris Liu

    Duke University, United States

    2 publications · 252 citations

    2

    h-index

  2. CW
    Caesar Wu

    The University of Melbourne, Australia

    2 publications · 80 citations

    2

    h-index

  3. KR
    Kotagiri Ramamohanarao

    The University of Melbourne, Australia

    2 publications · 80 citations

    2

    h-index

  4. ZL
    Zhenhua Liu

    California Institute of Technology, United States

    2 publications · 252 citations

    2

    h-index

  5. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    2 publications · 80 citations

    2

    h-index

1–5 of 190

Venues

  1. IEEE Transactions on Power Systems

    5 publications · 535 citations

    5

    h-index

  2. International Journal of Forecasting

    3 publications · 636 citations

    3

    h-index

  3. IEEE Transactions on Smart Grid

    2 publications · 156 citations

    2

    h-index

  4. Energy Conversion and Management

    2 publications · 380 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 62 citations

    2

    h-index

1–5