Resource Demand Forecasting

Resource Demand Forecasting is a systematic method used in agency budget planning that projects future resource requirements by analyzing historical data, operational trends, and anticipated programmatic needs to inform accurate and evidence-based budget requests.

51

Publications

1.6K

Citations

180

Authors

94

Institutions

Publications per year

2017–2026

21

Authors

180

  1. HP
    Harry Podschwit

    University of Washington, United States

    2 publications · 65 citations

    2

    h-index

  2. JR
    Jerome Rolia

    Hewlett-Packard (United States), United States

    2 publications · 84 citations

    2

    h-index

  3. AC
    Alison C. Cullen

    University of Washington, United States

    2 publications · 65 citations

    2

    h-index

  4. DK
    Diwakar Krishnamurthy

    University of Calgary, Canada

    2 publications · 48 citations

    2

    h-index

  5. AK
    Amir Kalbasi

    University of Calgary, Canada

    2 publications · 48 citations

    2

    h-index

1–5 of 180

Venues

  1. IEEE Access

    3 publications · 62 citations

    3

    h-index

  2. 2

    h-index

  3. International Journal of Wildland Fire

    2 publications · 65 citations

    2

    h-index

  4. Journal of Network and Systems Management

    2 publications · 33 citations

    2

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 1 publications · 32 citations

    1

    h-index

1–5