Time Series Forecasting

Time Series Forecasting is a predictive modeling technique within the broader class of forecasting methods that specifically involves estimating future values of a variable based on its historical data points ordered in time.

48.6K

Publications

3.1M

Citations

87.9K

Authors

10.4K

Institutions

Publications per year

2017–2026

23.4K

Authors

87.9K

  1. XX
    Xiaojie Xu

    North Carolina State University, United States

    56 publications · 6.5K citations

    56

    h-index

  2. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    112 publications · 8.8K citations

    53

    h-index

  3. SW
    Shouyang Wang

    Chinese Academy of Sciences, China

    101 publications · 8.6K citations

    49

    h-index

  4. ÖK
    Özgür Kişi

    Ilia State University, Georgia

    73 publications · 6.2K citations

    48

    h-index

  5. RJ
    Rob J. Hyndman

    Monash University, Australia

    76 publications · 22.9K citations

    47

    h-index

1–5 of 87.9K

Venues

  1. Energy

    617 publications · 58.9K citations

    132

    h-index

  2. International Journal of Forecasting

    878 publications · 87K citations

    132

    h-index

  3. Expert Systems with Applications

    737 publications · 67.9K citations

    129

    h-index

  4. Applied Energy

    416 publications · 47.5K citations

    124

    h-index

  5. IEEE Transactions on Power Systems

    261 publications · 47.9K citations

    123

    h-index

1–5