Regression-based Power Estimation
Regression-Based Power Estimation is a power estimation method that employs regression analysis to model and predict power consumption based on performance or operational metrics, distinguished by its reliance on statistical relationships between observable variables and measured power data.
57
Publications
38.8K
Citations
174
Authors
105
Institutions
Publications per year
2017–2026
16
Parents
57
1–5 of 57
174
University of North Carolina at Chapel Hill, United States
3 publications · 297 citations
3
h-index
University of North Carolina at Chapel Hill, United States
2 publications · 264 citations
2
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2
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2
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
2 publications · 157 citations
2
h-index
1–5 of 174
105
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
9 publications
688 citations

University of Bologna
Bologna, Italy
2 h-index
2 publications
157 citations
RTI International
Durham, United States
2 h-index
2 publications
264 citations
Engineering Systems (United States)
Omaha, United States
2 h-index
7 publications
159 citations

University of Alberta
Edmonton, Canada
2 h-index
2 publications
129 citations

University of Alabama at Birmingham
Birmingham, United States
2 h-index
4 publications
528 citations
University of Southern California
Los Angeles, United States
2 h-index
8 publications
192 citations
Civitan International
Birmingham, United States
2 h-index
4 publications
528 citations
1–8 of 105
5 publications · 406 citations
5
h-index
2 publications · 50 citations
2
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2 publications · 104 citations
2
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1 publications · 21 citations
1
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1 publications · 14 citations
1
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1–5