Adaptive Exponential Smoothing
Adaptive Exponential Smoothing is a time series forecasting method that dynamically adjusts its smoothing parameters in response to changes in the underlying data pattern, distinguishing itself from standard exponential smoothing techniques by incorporating mechanisms for real-time parameter adaptation based on forecast errors or variance estimates.
74
Publications
7.4K
Citations
168
Authors
95
Institutions
Publications per year
2017–2026
11
Parents
74
Exponential smoothing: The state of the art
Everette S. Gardner · Journal of Forecasting · 1985 · 1.4K citations
Business, Meteorology, Forecasting +13
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Tongji University
Shanghai, China
3 h-index
9 publications
405 citations

Southwest Jiaotong University
Chengdu, China
3 h-index
5 publications
111 citations
Miami University
Oxford, United States
2 h-index
2 publications
1.1K citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
62 citations
Virginia Tech
Blacksburg, United States
2 h-index
2 publications
45 citations
United States Navy
Washington, United States
2 h-index
2 publications
1.5K citations
University of Transport and Communications
Hanoi, Vietnam
2 h-index
4 publications
97 citations
University College London
London, United Kingdom
2 h-index
3 publications
160 citations
1–8 of 95
6 publications · 2.1K citations
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OR · 4 publications · 425 citations
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3 publications · 1.6K citations
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3 publications · 53 citations
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3 publications · 159 citations
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