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An Empirical Approach to Understanding the Energy Footprint of Data Centers and Ai

https://doi.org/10.2139/ssrn.4870717
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-22179-8_12openalex-extracted
Energy Efficiency of Data Centers
inferredcites →https://doi.org/10.1016/j.eneco.2024.107561openalex-extracted
Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China
inferredcites →https://doi.org/10.1016/j.joule.2023.09.004openalex-extracted
The growing energy footprint of artificial intelligence
inferredcites →https://doi.org/10.1080/09692290.2020.1814381openalex-extracted
Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs
inferredcites →https://doi.org/10.1126/science.aba3758openalex-extracted
Recalibrating global data center energy-use estimates
inferredcites →https://doi.org/10.1177/20552076231205736openalex-extracted
Exploring the effectiveness of artificial intelligence, machine learning and deep learning in trauma triage: A systematic review and meta-analysis
inferredcites →https://doi.org/10.1787/9789264206052-enopenalex-extracted
Energy Efficiency
inferredcites →https://doi.org/10.2172/10134947openalex-extracted
Energy consumption of personal computer workstations
inferredcites →https://doi.org/10.2172/1372902openalex-extracted
United States Data Center Energy Usage Report
inferredcites →https://doi.org/10.2172/7001015openalex-extracted
Office equipment energy use and trends
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