Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective
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DOI: 10.1016/j.apenergy.2023.120918
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- Han, Ouzhu & Ding, Tao & Yang, Miao & Jia, Wenhao & He, Xinran & Ma, Zhoujun, 2024. "A novel 4-level joint optimal dispatch for demand response of data centers with district autonomy realization," Applied Energy, Elsevier, vol. 358(C).
- Lei Su & Wenxiang Wu & Wanli Feng & Junda Qin & Yuqi Ao, 2024. "Collaborative Planning of Distribution Network, Data Centres and Renewable Energy in the Power Distribution IoT via Interval Optimization," Energies, MDPI, vol. 17(15), pages 1-26, July.
- Xiao, Jiang-Wen & Yang, Yan-Bing & Cui, Shichang & Wang, Yan-Wu, 2023. "Cooperative online schedule of interconnected data center microgrids with shared energy storage," Energy, Elsevier, vol. 285(C).
- Cao, Yujie & Cao, Fang & Wang, Yajing & Wang, Jianxiao & Wu, Lei & Ding, Zhaohao, 2024. "Managing data center cluster as non-wire alternative: A case in balancing market," Applied Energy, Elsevier, vol. 360(C).
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Keywords
Data center; Job scheduling; Demand-side resource; Deep reinforcement learning; Low-carbon operation;All these keywords.
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