Policy Document · 2026-05-01
24/7 Carbon-Free Energy for All: Towards a Resilient Energy System
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Scientific Paper · source-verified
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Jagannadharao, Akshaya; Beckage, Nicole; Biswas, Sovan; Egan, Hilary; Gafur, Jamil; Metsch, Thijs; Nafus, Dawn; Raffa, Giuseppe; Tripp, Charles · 2024-12-11
Accurate energy measurement is essential for reducing ML’s carbon footprint, requiring standardized tools, best practices, and improved adoption among researchers.
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Jagannadharao, Akshaya; Beckage, Nicole; Biswas, Sovan; Egan, Hilary; Gafur, Jamil; Metsch, Thijs; Nafus, Dawn; Raffa, Giuseppe; Tripp, Charles. 2024-12-11. A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning. https://arxiv.org/abs/2412.17830 (AI & Environment Resource Hub; record paper-124; collection snapshot 2026-09-15).
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- Jagannadharao, Akshaya; Beckage, Nicole; Biswas, Sovan; Egan, Hilary; Gafur, Jamil; Metsch, Thijs; Nafus, Dawn; Raffa, Giuseppe; Tripp, Charles
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- arXiv
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- 2024-12-11
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- 2026-09-15T16:44:33.445Z
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- 2026-09-06
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- Sustainable Computing & AI Footprint
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- Power, Energy, and Estimating in Computing and ML
- journal
- arXiv
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Source sheet: Scientific Paper · Row 128 · Original ID: paper-124.
A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
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