您当前的位置：
首页 >
文章列表页 >
Coordinated capacity optimization of source-grid-load-storage-computing systems in green computing parks in Xinjiang
System Scheduling & Low-Carbon Operation | 更新时间：2026-09-17

    • Coordinated capacity optimization of source-grid-load-storage-computing systems in green computing parks in Xinjiang

    • BLASTING   Vol. 48, Issue 9, Pages: 96-106(2026)

    • DOI：10.3969/j.issn.2097-0706.2026.09.008    

      CLC：

    • Received：08 June 2026，

      Revised：2026-07-13，

      Online First：24 August 2026，

      Published：25 September 2026

    移动端阅览

  • FAN Xiaochao,ZHANG Zhihao,WANG Zilong,et al.Coordinated capacity optimization of source-grid-load-storage-computing systems in green computing parks in Xinjiang[J].BLASTING,2026,48(09):96-106. DOI： 10.3969/j.issn.2097-0706.2026.09.008.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Economic analysis of wind-photovoltaic-storage-driven data centers under green power direct connection mode
Cross-park computing-electricity bilateral matching driven by Bayesian reputation and diffusion-policy potential game
Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks
Review of flexibility and adjustable potential quantification of transportation and computing loads for green power accommodation
Low-carbon economic scheduling for multiple data centers considering spatiotemporal migration characteristics of computing loads

Related Author

CHENG Yunlong
LIU Yuntong
CUI Songji
WANG Xinghao
LI Xueqiang
ZHANG Zhiqiang
LIU Shengchun
CHENG Lefeng

Related Institution

Science and Technology Department of Hetian Prefecture， Hetian
Key Laboratory of Refrigeration Technology of Tianjin， Tianjin University of Commerce
Joint Laboratory of Advanced Liquid Cooling Technology and System， Tianjin Tier Technology Company Limited
School of Mechanical and Electrical Engineering，Guangzhou University
State Key Laboratory for Grid Disaster Prevention and Mitigation，Changsha University of Science and Technology
0