Renewable Energy Forecasting
Renewable Energy Forecasting is a systematic predictive methodology that estimates future power generation from renewable sources, such as solar and wind, by analyzing meteorological, historical, and operational data to address the inherent variability and uncertainty in renewable energy production within smart grid systems.
3.9K
Publications
230K
Citations
9.9K
Authors
2.5K
Institutions
Publications per year
2017–2026
2.8K
Parents
3.9K
Online short-term solar power forecasting
Peder Bacher, Henrik Madsen, Henrik Aalborg Nielsen · Solar Energy · 2009 · 811 citations
1–5 of 3.9K
9.9K
Centre Procédés, Energies Renouvelables et Systèmes Energétiques, France
39 publications · 3.1K citations
25
h-index
22
h-index
20
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20
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19
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1–5 of 9.9K
2.5K

North China Electric Power University
Beijing, China
63 h-index
592 publications
49K citations
Technical University of Denmark
Kongens Lyngby, Denmark
39 h-index
167 publications
16K citations

National Laboratory of the Rockies
Golden, United States
33 h-index
115 publications
10.1K citations
Tsinghua University
Beijing, China
32 h-index
133 publications
12.1K citations
China Electric Power Research Institute
Beijing, China
31 h-index
98 publications
6K citations

Xi'an Jiaotong University
Xi'an, China
30 h-index
94 publications
7.4K citations
Politecnico di Milano
Milan, Italy
26 h-index
153 publications
10.6K citations

Hohai University
Nanjing, China
24 h-index
114 publications
7.3K citations
1–8 of 2.5K
186 publications · 16.2K citations
73
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160 publications · 15K citations
69
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138 publications · 13.9K citations
67
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TSTE · 99 publications · 9.6K citations
57
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250 publications · 11.7K citations
54
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1–5