Probabilistic Capacity Forecasting
Probabilistic Capacity Forecasting is a forecasting paradigm that, as a distinct approach within capacity forecasting, employs probabilistic models to quantify uncertainty in future capacity estimates by generating predictive distributions rather than point predictions.
8
Publications
389
Citations
21
Authors
10
Institutions
Publications per year
2017–2026
0
Parents
8
1–5 of 8
21
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 21
10
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
100 citations
Daniel H. Wagner Associates (United States)
Exton, United States
1 h-index
2 publications
28 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
154 citations
Metron (United States)
Reston, United States
1 h-index
4 publications
56 citations

Kema International (Netherlands)
Arnhem, Netherlands
1 h-index
2 publications
308 citations

Spelman College
Atlanta, United States
1 h-index
1 publications
53 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
53 citations
Mosaic ATM (United States)
Leesburg, United States
1 h-index
3 publications
72 citations
1–8 of 10
1 publications · 82 citations
1
h-index
1 publications · 27 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
Conference · 1 publications · 14 citations
1
h-index
1 publications · 154 citations
1
h-index
1–5