Machine Learning Forecast Combination
Machine Learning Forecast Combination is a forecast combination method that employs machine learning algorithms to non-linearly aggregate predictions from multiple individual forecasting models, distinguishing itself from traditional linear or equal-weight approaches by adaptively learning optimal weighting structures from data.
65
Publications
3.2K
Citations
173
Authors
111
Institutions
Publications per year
2017–2026
36
Parents
65
Jianzhou Wang, Jianming Hu · Energy · 2015 · 309 citations
Forecast combining with neural networks
Ronnie Donaldson, Mark J. Kamstra · Journal of Forecasting · 1996 · 190 citations
Computing, Meteorology, Forecasting +11
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Wuhan University
Wuhan, China
3 h-index
3 publications
96 citations

Dongbei University of Finance and Economics
Dalian, China
3 h-index
6 publications
660 citations
Tianjin University
Tianjin, China
3 h-index
5 publications
136 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
104 citations

Coventry University
Coventry, United Kingdom
2 h-index
2 publications
152 citations

North China Electric Power University
Beijing, China
2 h-index
5 publications
127 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
52 citations
Istanbul Aydın University
Istanbul, Türkiye
2 h-index
4 publications
96 citations
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6 publications · 453 citations
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3 publications · 321 citations
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2 publications · 52 citations
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2 publications · 32 citations
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2 publications · 57 citations
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