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InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.

, , , , , , , and . CoRR, (2024)

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Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers., , , , and . e-Energy, page 482-488. ACM, (2020)Energy-aware Fault-tolerant Scheduling Scheme based on Intelligent Prediction Model for Cloud Data Center., , , and . IGSC, page 1-8. IEEE, (2018)A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers., , , , , , and . Sustain. Comput. Informatics Syst., (2021)A market-oriented incentive mechanism for emergency demand response in colocation data centers., , , , , , and . Sustain. Comput. Informatics Syst., (2019)InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting., , , , , , , and . CoRR, (2024)PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center., , , , and . IEEE Trans. Sustain. Comput., 6 (4): 655-666 (2021)An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center., , , , , and . ICIIP, page 1:1-1:9. ACM, (2017)A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers., , , , , , , and . ICCCN, page 1-9. IEEE, (2021)An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction., , , , , and . ISCC, page 1-6. IEEE, (2020)Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning., , , , , and . e-Energy, page 489-495. ACM, (2020)