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

Authors

200

  1. HH
    Hossein Hassani

    University of Tehran, Iran

    8 publications · 1.2K citations

    8

    h-index

  2. GD
    Guoru Ding

    PLA Army Engineering University, China

    6 publications · 209 citations

    6

    h-index

  3. QW
    Qihui Wu

    Nanjing University of Aeronautics and Astronautics, China

    4 publications · 139 citations

    4

    h-index

  4. JS
    Jiachen Sun

    PLA Army Engineering University, China

    4 publications · 122 citations

    4

    h-index

  5. LY
    Ling Yu

    Jinan University, China

    3 publications · 101 citations

    3

    h-index

1–5 of 200

Venues

  1. Monthly Weather Review

    4 publications · 174 citations

    4

    h-index

  2. IEEE Transactions on Vehicular Technology

    3 publications · 127 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 355 citations

    3

    h-index

  4. IEEE Access

    3 publications · 88 citations

    3

    h-index

  5. China Communications

    2 publications · 60 citations

    2

    h-index

1–5