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Propane and carbon dioxide show promise as EV refrigerants
Comparison of Propane and CO2 as PFAS-compliant refrigerants for EV thermal management, demonstrating 25% range improvement in cold conditions with proper safety measures.
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Explainable quantum AI predicted vehicular energy use in smart cities
Quantum machine learning combined with explainable AI improves energy prediction for autonomous electric vehicles while ensuring transparent, trustworthy decision-making in smart city operations.
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Carbon trading decentralization hindered energy eco-efficiency
Study of 257 Chinese cities shows carbon emissions trading policy reduces energy efficiency through technological and structural changes, though spillover effects partially offset losses.
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Queueing model reduces energy use in ternary optical computers
Study proposes queuing-based service model to optimize energy consumption and performance in ternary optical computers through threshold-based scheduling.
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Proactive VM consolidation cuts energy use and SLA violations
Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.
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Self-assessment tool standardizes data center efficiency evaluation
Modular assessment framework for automated evaluation of data center thermal and energy efficiency using standardized KPI calculations from monitoring systems and historical datasets.
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Mandatory AI emissions disclosure appears operationally feasible
Feasibility analysis of mandatory emissions disclosure for AI research using tiered policies and Monte-Carlo simulation, demonstrating high coverage with minimal operational burden on research venues.