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Ricardo Luna

2 accepted papers

2024

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time

AAAI 2024technical

As machine learning workloads are significantly increasing energy consumption, sustainable data centers with low carbon emissions are becoming a top priority for governments and corporations worldwide. This requires a paradigm shift in optimizing power consumption in cooling and IT loads, shifting f…

Cited by 12SourcePDFScholar
2024

Sustainability of Data Center Digital Twins with Reinforcement Learning

AAAI 2024technical

The rapid growth of machine learning (ML) has led to an increased demand for computational power, resulting in larger data centers (DCs) and higher energy consumption. To address this issue and reduce carbon emissions, intelligent design and control of DC components such as IT servers, cabinets, HVA…