The DOI matches its Crossref record; 8 of the 9 references it cites were found in a registry or an index.
A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Previous research has examined PUE and its shortcomings (Yuventi & Mehdizadeh, 2013).”
From Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models (2020) · cites this paper as Yuventi & Mehdizadeh, 2013
Citations
Cites
Karl, T. R., & Trenberth, K. E. (2003) · Science · doi:10.1126/science.1090228 · Cited by 2,070
When will fossil fuel reserves be diminished?
Shafiee, S., & Topal, E. (2009) · Energy Policy · doi:10.1016/j.enpol.2008.08.016 · Cited by 2,061
Worldwide electricity used in data centers
Koomey, J. G. (2008) · Environmental Research Letters · doi:10.1088/1748-9326/3/3/034008 · Cited by 972
Polices for increasing energy efficiency: Thirty years of experience in OECD countries
Geller, H., Harrington, P., Rosenfeld, A. H., Tanishima, S., & Unander, F. (2006) · Energy Policy · doi:10.1016/j.enpol.2005.11.010 · Cited by 462
Best Practices for Data Centers: Lessons Learned from Benchmarking 22 Data Centers
Greenberg, S., Mills, E., Tschudi, B., & Rumsey, P. (2006) · Cited by 214
The effect of data center temperature on energy efficiency
Patterson, M. K. (2008) · 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems · doi:10.1109/itherm.2008.4544393 · Cited by 199
Do regulations encourage innovation? - the case of energy efficiency in housing
Gann, D. M., Wang, Y., & Hawkins, R. (1998) · Building Research & Information · doi:10.1080/096132198369760 · Cited by 192
Data center power requirements: measurements from Silicon Valley
Jennifer Mitchell-jackson, A., Koomey, J., Bruce Nordman, B., & Michele Blazek, C. (2003) · Energy · doi:10.1016/s0360-5442(03)00009-4 · Cited by 102
Cited by
Data Center Energy Consumption Modeling: A Survey
Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481183 · Cited by 1,165
Green Algorithms: Quantifying the Carbon Footprint of Computation
Lannelongue, L., Grealey, J., & Inouye, M. (2021) · Advanced Science · doi:10.1002/advs.202100707 · Cited by 543
Energy efficiency and renewable energy integration in data centres. Strategies and modelling review
Oró, E., Depoorter, V., Garcia, A., & Salom, J. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.10.035 · Cited by 318
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Anthony, L. F. W., Kanding, B., & Selvan, R. (2020) · arXiv · doi:10.48550/arxiv.2007.03051 · Cited by 255
Sustainability of the Metaverse: A Transition to Industry 5.0
De Giovanni, P. (2023) · Sustainability · doi:10.3390/su15076079 · Cited by 246
Metadata
- Authors
- Yuventi, J., & Mehdizadeh, R.
- Affiliations
- Stanford University (US)
- Corresponding author
- Yuventi, Jumie
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 64
- Pages
- 90-94
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2076992503
- Cited by
- 114
- References
- 9
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 7 · 2023: 12 · 2022: 11 · 2021: 11 · 2020: 8 · 2019: 11 · 2018: 11 · 2017: 4 · 2016: 5 · 2015: 7 · 2014: 3 · 2013: 1
- FWCI
- 15.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy and Buildings (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- power usage effectiveness, data center energy consumption, energy efficiency metrics, energy rating systems, energy codes, energy consumption reporting, data center energy efficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption. https://app.cochat.ai/papers/10.1016/j.enbuild.2013.04.015
- The paper
- Yuventi, J., & Mehdizadeh, R. (2013). A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2013.04.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
