Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system-Reference-Cited by-同舟云学术

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Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system

Published:2022-06 Issue: Volume:50 Page:104167
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Park Bo Rang^ORCID,Choi Young Jae^ORCID,Choi Eun Ji^ORCID,Moon Jin Woo^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference57 articles.

1. On cold-aisle containment of a container datacenter;Wang;Appl. Therm. Eng.,2017

2. How IT can cut carbon emissions;Boccaletti;McKinsey Q.,2008

3. Korea Data Center Market 2020–2030;Song,2020

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building;Journal of Building Engineering;2024-11

2. Advancements in data center cooling systems: From refrigeration to high performance cooling;Energy and Buildings;2024-10

3. A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model;Journal of Building Engineering;2024-10

4. Chiller energy prediction in commercial building: A metaheuristic-Enhanced deep learning approach;Energy;2024-06

5. FlexCoolDC: Datacenter Cooling Flexibility for Harmonizing Water, Energy, Carbon, and Cost Trade-offs;The 15th ACM International Conference on Future and Sustainable Energy Systems;2024-05-31

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