CLOUDADV combines zero-shot forecasting with LLM-generated recommendations for cloud instance sizing, reporting 52.9% simulated monthly cost savings in a seven-VM Azure case study.
Available: https://www.iea.org/reports/energy-and-ai
2 Pith papers cite this work. Polarity classification is still indexing.
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Small-scale data centers can achieve 22% lower energy costs by participating in day-ahead markets via a custom agreement and scenario-based bidding that exploits workload flexibility and waste heat.
citing papers explorer
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CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
CLOUDADV combines zero-shot forecasting with LLM-generated recommendations for cloud instance sizing, reporting 52.9% simulated monthly cost savings in a seven-VM Azure case study.
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Should Small-Scale Data Centers Participate in the Day-Ahead Electricity Market?
Small-scale data centers can achieve 22% lower energy costs by participating in day-ahead markets via a custom agreement and scenario-based bidding that exploits workload flexibility and waste heat.