Feature-based Forecasting
Feature-Based Forecasting is a short-range forecasting method that leverages identifiable spatiotemporal patterns or diagnostic variables—rather than raw data or black-box representations—as the primary inputs to predict imminent atmospheric or environmental changes.
344
Publications
16.1K
Citations
1.2K
Authors
469
Institutions
Publications per year
2017–2026
265
Parents
344
FFORMA: Feature-based forecast model averaging
Pablo Montero‐Manso, George Athanasopoulos, Rob J. Hyndman et al. · International Journal of Forecasting · 2019 · 298 citations
Computing, Mathematics, Meteorology +12
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Nanjing University of Information Science and Technology, China
4 publications · 278 citations
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North China Electric Power University
Beijing, China
10 h-index
39 publications
2.5K citations

Nanjing University of Information Science and Technology
Nanjing, China
8 h-index
26 publications
1.3K citations

Dongbei University of Finance and Economics
Dalian, China
7 h-index
21 publications
1.4K citations
Lanzhou University
Lanzhou, China
5 h-index
10 publications
189 citations
Islamic Azad University Ardabil
Ardabil, Iran
5 h-index
8 publications
1.1K citations

Southeast University
Nanjing, China
5 h-index
17 publications
1.4K citations

Central South University
Changsha, China
5 h-index
16 publications
892 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
9 publications
631 citations
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17 publications · 758 citations
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13 publications · 1.3K citations
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12 publications · 475 citations
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9 publications · 1K citations
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7 publications · 525 citations
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