Root Mean Squared Forecast Error
Root Mean Squared Forecast Error is a forecast evaluation metric that quantifies the average magnitude of forecast errors by taking the square root of the mean squared differences between predicted and actual values, thereby emphasizing larger errors through squaring.
223
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9.2K
Citations
605
Authors
337
Institutions
Publications per year
2017–2026
96
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Rmsfe
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On the limitations of comparing mean square forecast errors
Michael P. Clements, David F. Hendry · Journal of Forecasting · 1993 · 398 citations
Business, Economics, Econometrics +14
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan et al. · IEEE Access · 2022 · 298 citations · Full text
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Federal Reserve Board of Governors
Washington D.C., United States
6 h-index
9 publications
410 citations
University of Chicago
Chicago, United States
5 h-index
5 publications
150 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
8 publications
321 citations
Federal Reserve
Washington D.C., United States
5 h-index
8 publications
354 citations

University of Tasmania
Hobart, Australia
3 h-index
5 publications
134 citations
University of Southern California
Los Angeles, United States
3 h-index
4 publications
144 citations
Centre for Economic Policy Research
London, United Kingdom
3 h-index
3 publications
434 citations
Tinbergen Institute
Rotterdam, The Netherlands
3 h-index
4 publications
160 citations
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11 publications · 760 citations
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Repository · 10 publications · 243 citations
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4 publications · 140 citations
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4 publications · 71 citations
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4 publications · 136 citations
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