Physical Forecasting Models
Physical Forecasting Models is a forecasting methodology that belongs to the class of renewable generation prediction techniques and is distinguished by its reliance on first-principles physical laws and numerical weather prediction to simulate atmospheric and energy conversion processes for estimating future power output.
171
Publications
14K
Citations
628
Authors
303
Institutions
Publications per year
2017–2026
107
Variants
Physical Forecasting
171
1–5 of 171
628
Budapest University of Technology and Economics, Hungary
4 publications · 731 citations
4
h-index
3
h-index
3
h-index
Universitatea Națională de Știință și Tehnologie Politehnica București, Romania
3 publications · 360 citations
3
h-index
National Institute of Advanced Industrial Science and Technology, Japan
3 publications · 69 citations
3
h-index
1–5 of 628
303

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
888 citations

North China Electric Power University
Beijing, China
5 h-index
11 publications
1.1K citations
Tsinghua University
Beijing, China
5 h-index
13 publications
1.5K citations

Budapest University of Technology and Economics
Budapest, Hungary
4 h-index
5 publications
1.2K citations

University of Bucharest
Bucharest, Romania
3 h-index
3 publications
360 citations

NSF National Center for Atmospheric Research
Boulder, United States
3 h-index
26 publications
2.6K citations
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
13 publications
300 citations
Technical University of Denmark
Kongens Lyngby, Denmark
3 h-index
7 publications
1.5K citations
1–8 of 303
20 publications · 1.6K citations
18
h-index
12 publications · 1K citations
12
h-index
8 publications · 1.2K citations
8
h-index
9 publications · 717 citations
8
h-index
5 publications · 262 citations
5
h-index
1–5