Optimized Exponential Smoothing

Optimized Exponential Smoothing is a systematic methodology within time series forecasting that belongs to the class of exponential smoothing techniques, distinguished by its use of formal optimization procedures—typically through minimizing a loss function such as mean squared error—to automatically select the optimal values of smoothing parameters and initial states.

15

Publications

1.5K

Citations

45

Authors

25

Institutions

Publications per year

2017–2026

6

Authors

45

  1. RD
    Ralph D. Snyder

    Monash University, Australia

    2 publications · 1.1K citations

    2

    h-index

  2. HL
    Hong Liang Yu

    Dalian Ocean University, China

    2 publications · 48 citations

    2

    h-index

  3. YL
    Yun-Cai Liu

    Tongji University, China

    2 publications · 48 citations

    2

    h-index

  4. SD
    Simone D. Grose

    Monash University, Australia

    1 publications · 1K citations

    1

    h-index

  5. YW
    Yong Wang

    Southwest Petroleum University, China

    1 publications · 26 citations

    1

    h-index

1–5 of 45

Venues

  1. IET Generation Transmission & Distribution

    1 publications · 11 citations

    1

    h-index

  2. 自动化学报

    1 publications · 14 citations

    1

    h-index

  3. Omega

    1 publications · 83 citations

    1

    h-index

  4. Socio-Economic Planning Sciences

    1 publications · 51 citations

    1

    h-index

  5. 1

    h-index

1–5