Spectral Forecasting
Spectral Forecasting is a time series prediction method that leverages spectral decomposition to model temporal dependencies by transforming the forecasting problem into the frequency domain, distinguishing itself from time-domain approaches through its emphasis on periodic and oscillatory components inherent in the data.
67
Publications
4.5K
Citations
200
Authors
87
Institutions
Publications per year
2017–2026
32
Parents
67
Singular Spectrum Analysis: Methodology and Comparison
Hossein Hassani · Journal of Data Science · 2021 · 624 citations · Full text
Spectral Analysis of Economic Time Series.
J. D. Sargan, Clive W. J. Granger, Michio Hatanaka · Economica · 1966 · 538 citations
Spectral Temporal Graph Neural Network for Multivariate Time-series\n Forecasting
Defu Cao, Yujing Wang, Juanyong Duan et al. · arXiv (Cornell University) · 2021 · 190 citations · Full text
Computing, Data Science, Forecasting +16
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87
PLA Army Engineering University
Nanjing, China
8 h-index
29 publications
842 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
6 h-index
11 publications
357 citations

Southeast University
Nanjing, China
4 h-index
9 publications
311 citations

Bournemouth University
Poole, United Kingdom
3 h-index
5 publications
245 citations
Cardiff University
Cardiff, United Kingdom
3 h-index
6 publications
1.5K citations
Texas A&M University
College Station, United States
2 h-index
4 publications
823 citations

Harbin Institute of Technology
Harbin, China
2 h-index
6 publications
162 citations

Zhejiang University
Hangzhou, China
2 h-index
6 publications
121 citations
1–8 of 87
4 publications · 174 citations
4
h-index
3 publications · 127 citations
3
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Repository · 3 publications · 355 citations
3
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3 publications · 88 citations
3
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2 publications · 60 citations
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1–5