ENNP: an enhanced neural networks-based power consumption prediction algorithm to deep learning-based workloads on AI-enabled data centers
The traditional power consumption prediction algorithms are no longer suitable for deep learning-based workloads owing to the long-term dependencies and highly volatile nature of power usage in such applications. To address these challenges, this study proposes ENNP, an enhanced neural network-based...
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| Published in: | Cluster computing Vol. 29; no. 1; p. 36 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Springer US
01.02.2026
Springer Nature B.V |
| Subjects: | |
| ISSN: | 1386-7857, 1573-7543 |
| Online Access: | Get full text |
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