Deep reinforcement learning towards real-world dynamic thermal management of data centers

Author:

Zhang Qingang,Zeng Wei,Lin Qinjie,Chng Chin-Boon,Chui Chee-Kong,Lee Poh-Seng

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference73 articles.

1. How energy consumption in the cloud data center is calculated;Diouani;International Conference of Computer Science and Renewable Energies (ICCSRE),2019

2. Recalibrating global data center energy-use estimates;Masanet;Science,2020

3. A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system;Habibi Khalaj;Appl Energy,2017

4. Shifting to energy efficient hybrid cooled data centers using novel embedded floor tiles heat exchangers;Manaserh;Energ Conver Manage,2021

5. Yu, L., Qin, S., Zhang, M., Shen, C., Jiang, T., & Guan, X. (2020). Deep Reinforcement Learning for Smart Building Energy Management: A Survey. ArXiv:2008.05074 [Cs, Eess]. http://arxiv.org/abs/2008.05074.

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