Solar Power Forecasting
Solar Power Forecasting is a predictive modeling approach that estimates future solar power generation output by integrating meteorological data and solar irradiance projections with historical plant performance characteristics to support grid integration and energy management decisions.
2.2K
Publications
127.1K
Citations
5.8K
Authors
1.7K
Institutions
Publications per year
2017–2026
1.7K
2.2K
Review of photovoltaic power forecasting
J. Antonanzas, Natalia Osorio, Rodrigo Escobar et al. · Solar Energy · 2016 · 1.3K citations
Online short-term solar power forecasting
Peder Bacher, Henrik Madsen, Henrik Aalborg Nielsen · Solar Energy · 2009 · 811 citations
1–5 of 2.2K
5.8K
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16
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1–5 of 5.8K
1.7K

North China Electric Power University
Beijing, China
52 h-index
329 publications
33.4K citations

National Laboratory of the Rockies
Golden, United States
24 h-index
65 publications
5.8K citations
University of California San Diego
San Diego, United States
23 h-index
97 publications
13.3K citations
Tsinghua University
Beijing, China
21 h-index
60 publications
7.4K citations
Politecnico di Milano
Milan, Italy
21 h-index
120 publications
7.6K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
53 publications
2.6K citations

Hohai University
Nanjing, China
19 h-index
83 publications
5.5K citations

The University of Sydney
Sydney, Australia
18 h-index
40 publications
2.7K citations
1–8 of 1.7K
110 publications · 13.3K citations
60
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86 publications · 8.9K citations
55
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93 publications · 8.3K citations
53
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74 publications · 7.6K citations
48
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141 publications · 6.9K citations
44
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1–5