Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage

被引：0
|
作者：
Shih, Yang-Cheng [1 ,2 ]
Tamilarasan, Sathesh [3 ]
Chen, Chin-Sheng [4 ]
Zargar, Omid Ali [5 ]
Kuan, Yean-Der [3 ]
机构：
[1] Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei,10608, Taiwan
[2] Research Center of Energy Conservation for New Generation of Residential, Commercial, Industrial Sectors, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei,10608, Taiwan
[3] Department of Refrigeration, Air Conditioning and Energy Engineering, National Chin-Yi University of Technology, 57, Sec.2, Zhongshan Rd, Taiping Dist., Taichung City,411030, Taiwan
[4] Graduate Institute of Automation Technology, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei,10608, Taiwan
[5] Department of Mechanical Engineering, National Chin-Yi University of Technology, 57, Sec.2, Zhongshan Rd, Taiping Dist., Taichung City,411030, Taiwan
来源：
International Journal of Thermofluids | 2024年 / 24卷
关键词：
41;
D O I：
10.1016/j.ijft.2024.100866
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学科分类号：
摘要：
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