Jonathan Koomey
Scholar

Jonathan Koomey

Google Scholar ID: B58w_bQAAAAJ
President, Koomey Analytics
Climate change mitigation (economics and technology)energy forecastingultra-low-power computing and communicationsenergy e
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Citations & Impact
All-time
Citations
6,374
 
H-index
32
 
i10-index
58
 
Publications
20
 
Co-authors
0
 
Contact
Emailjon@koomey.comCVOpen ↗LinkedInOpen ↗
Publications
2 items
Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation
2025
Cited
0
Generalizable Machine Learning Models for Predicting Data Center Server Power, Efficiency, and Throughput
2025
Cited
0
Resume
Academic Achievements
  • Published numerous papers on topics such as data centers, trends in information technology, and energy use efficiency, including 'Digital twins for digital infrastructure: The key to optimizing data center operations' and 'Will AI accelerate or delay the race to net-zero emissions?' among others.
Research Experience
  • Has extensive research experience, particularly in the areas of data centers and trends in information technology.
Background
  • Research interests include data centers, trends in information technology, climate solutions, scenario analysis, and critical thinking skills. Koomey Analytics (formerly Analytics Press) creates quantitative analyses, data, training classes, books, and peer-reviewed publications for academic, non-profit, and corporate clients.