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Work item:
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L.Suppl.48 to ITU-T L.1305 (ex L.Suppl.dces)
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Subject/title:
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Data center energy saving: Application of AI technology in improving energy efficiency of telecommunication room and data center infrastructure
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Status:
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Agreed on 2022-07-01 [Issued from previous study period]
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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-
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Supporting members:
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China Telecommunications Corp., Huawei, China
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Summary:
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Telecommunication Room and Data Center (DC) Infrastructure is containing a huge number of Information and Communication equipment. In order to keep the equipment running continuously and reliably, the room is necessarily equipped with air-conditioners to create a suitable environment for equipment operation. Nevertheless, it will cause a large amount of energy consumption and carbon emissions. This Supplement focuses on the application of AI technology and other emerging technologies such as digital twin, to improve the energy efficiency and reduce the carbon emissions of telecommunication room and DC infrastructures.
Most of the existing telecommunication room and DC infrastructures do not have the full ability to identify the distribution of indoor temperatures. Therefore, it is difficult to analyse the heat flow and the related power consumption in real-time and make appropriate adjustments timely. Consequently, it leads to unnecessary consumption of energy. This Supplement will address how AI-based power management can achieve the following capabilities:
Data collections in telecommunication room and DC infrastructure;
Real-time analysis of the historical power consumption and parameters of the target equipment room;
The ability of training an intelligent model;
Making reasonable adjustments dynamically to the air-conditioning and temperature, so as to achieve energy saving in the telecommunication room and DC infrastructure.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2021-12-13 20:59:04
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Last update:
2022-08-18 16:17:27
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