51 citations · 220 across the 10 of their papers we have counts for
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cs.AI2022★ 43 cited
Runtime data center temperature prediction using Grammatical Evolution techniques
Marina Zapater, José L. Risco-Martín, Patricia Arroba +3
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique…
cs.LG2022★ 3 cited
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
Jaime Pérez, Patricia Arroba, José M. Moya
The Cloud paradigm is at a critical point in which the existing energy-efficiency techniques are reaching a plateau, while the computing resources demand at Data Center facilities…