High-frequency Data Forecasting
High-Frequency Data Forecasting is a forecasting methodology that belongs to the class of aggregate demand prediction techniques, distinguished by its reliance on data sampled at short temporal intervals to capture rapid dynamics and improve forecast accuracy in near-term horizons.
146
Publications
6.8K
Citations
366
Authors
237
Institutions
Publications per year
2017–2026
78
Parents
146
Yaohao Peng, Pedro Henrique Melo Albuquerque, Jader Martins Camboim de Sá et al. · Expert Systems with Applications · 2017 · 261 citations
Xin Zhao, Meng Han, Lili Ding et al. · Applied Energy · 2018 · 189 citations
1–5 of 146
366
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h-index
3
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3
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3
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3
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1–5 of 366
237
Federal Reserve
Washington D.C., United States
6 h-index
16 publications
1.2K citations
Federal Reserve Board of Governors
Washington D.C., United States
5 h-index
12 publications
662 citations

Ocean University of China
Qingdao, China
5 h-index
15 publications
1.3K citations

Cornell University
Ithaca, United States
3 h-index
3 publications
568 citations

Johns Hopkins University
Baltimore, United States
3 h-index
3 publications
154 citations
University College London
London, United Kingdom
3 h-index
6 publications
290 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
6 publications
182 citations
University of Vienna
Vienna, Austria
3 h-index
3 publications
73 citations
1–8 of 237
Repository · 12 publications · 331 citations
11
h-index
9 publications · 603 citations
9
h-index
5 publications · 267 citations
5
h-index
4 publications · 168 citations
4
h-index
JRFM · 4 publications · 131 citations
4
h-index
1–5