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

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

Addressing the critical need for enhanced power usage effectiveness in data centers (DCs), this study pioneers an improved convolutional long short-term memory with deep neural network (CLDNN) model, enriched with attention mechanisms for precise DC performance prediction. We rigorously evaluate our...

Full description

Bibliographic Details
Main Authors: Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:International Journal of Thermofluids
Subjects:
Data center
Power usage effectiveness
Convolutional long short-term memory
Deep neural network
Integrated model
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202724003070

Internet

http://www.sciencedirect.com/science/article/pii/S2666202724003070

Similar Items