DeepCCHP: Intelligent Comprehensive Optimization of Energy Consumption and Carbon Emission for Data Center CCHP Systems-Reference-Cited by-同舟云学术

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DeepCCHP: Intelligent Comprehensive Optimization of Energy Consumption and Carbon Emission for Data Center CCHP Systems

Published:2024-04-11 Issue: Volume: Page:1451-1459
ISSN:
Container-title:2024 9th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
Short-container-title:

Author:

Li Qinghua¹,Liu Qichen²,Ran Yongyi¹,Sun Tongyao¹,Chen Shuangwu³,Luo Jiangtao¹

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China

2. Newcastle University,School of Architecture, Planning and Landscape,Newcastle,United Kingdom

3. University of Science and Technology of China,School of Information Science and Technology,Hefei,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532251/10532216/10532357.pdf?arnumber=10532357

Reference12 articles.

1. Green Data Center Cooling Control via Physics-Guided Safe Reinforcement Learning

2. Optimal thermal management of server cooling system based cooling tower under different ambient temperatures

3. Managing overloaded hosts for energy-efficiency in cloud data centers

4. AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center

5. RARE: Renewable Energy Aware Resource Management in Datacenters

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