Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks

QU Xinmei; ZHONG Junjie; ZHAO Jinjin; SUN Kanghong; ZHANG Zhen; CAO Yijia

doi:10.3969/j.issn.2097-0706.2026.09.005

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks

Key Technology & Coordinated Control | 更新时间：2026-09-17

- Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks
- BLASTING Vol. 48, Issue 9, Pages: 56-67(2026)
- 作者机构：
  
  1.长沙理工大学，电气与信息工程学院，长沙 410114
  2.长沙理工大学，电网防灾减灾全国重点实验室，长沙 410114
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52407079);Natural Science Foundation of Hunan Province of China(2025JJ60372)
- DOI：10.3969/j.issn.2097-0706.2026.09.005
  CLC：
- Received：11 August 2026，
  
  Revised：2026-08-12，
  
  Online First：24 August 2026，
  
  Published：25 September 2026
- 稿件说明：
移动端阅览
曲鑫梅,钟俊杰,赵津津等.考虑数据中心柔性任务的综合能源系统能-算协同深度强化学习方法[J].综合智慧能源,2026,48(09):56-67.

QU Xinmei,ZHONG Junjie,ZHAO Jinjin,et al.Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks[J].BLASTING,2026,48(09):56-67.
曲鑫梅,钟俊杰,赵津津等.考虑数据中心柔性任务的综合能源系统能-算协同深度强化学习方法[J].综合智慧能源,2026,48(09):56-67. DOI： 10.3969/j.issn.2097-0706.2026.09.005.

QU Xinmei,ZHONG Junjie,ZHAO Jinjin,et al.Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks[J].BLASTING,2026,48(09):56-67. DOI： 10.3969/j.issn.2097-0706.2026.09.005.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Technical pathways and applicability of direct nuclear power supply for data centers

Optimal scheduling of integrated computation-electricity-thermal systems considering the spatiotemporal characteristics of computing workload

Economic analysis of wind-photovoltaic-storage-driven data centers under green power direct connection mode

A Stackelberg game-based scheduling strategy for operator-data center clusters considering low-carbon incentives

Operational optimization of multi-energy microgrids for data centers considering flexibility of computing loads and cold energy storage

Related Author

WANG Yongzhen

ZHONG Xiaochen

CAI Weihua

XIONG Wei

XU Junjun

LI Xinlei

JIANG Wangyang

SU Xuan

Related Institution

School of Mechanical Engineering， Beijing Institute of Technology

Northeast Electric Power University

Institute of Nuclear and New Energy Technology， Tsinghua University

China General Nuclear Power Corporation

School of Energy Storage Science and Engineering， North China University of Technology

AI导读

AI脑图

AI问答

⁰

Deep reinforcement learning method for energy-computing coordinated scheduling in integrated energy systems considering flexible data center tasks

DOI：10.3969/j.issn.2097-0706.2026.09.005