AI-Based Air Cooling System in Data Center
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50330-6_6
Reference29 articles.
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2. Kumar, R., Khatri, S.K., José Diván, M.: Effect of cooling systems on the energy efficiency of data centers: machine learning optimisation. In: 2020 International Conference on Computational Performance Evaluation (ComPE), pp. 596–600 (2020)
3. Patel, C., Bash, C., Sharma, R., Beitelmal, M., Friedrich, R.: Smart cooling of data centers, pp. 4–5 (2003) https://doi.org/10.1115/IPACK2003-35059
4. Fei, Z., Song, X.: Deep neural networks can reverse spiraling energy use in data centers & cut PUE, pp. 5–9 (2020)
5. Jin, C., Bai, X., Yang, C.: Effects of airflow on the thermal environment and energy efficiency in raised-floor data centers. Sci. Total Environ. 695, 133–801 (2019). ISSN 0048-9697
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