Dual-Layer Optimization Scheduling of Data Center Based on Multi-Agent Proximal Strategy Network
Power Grid Frequency Regulation and Load Optimization Control|更新时间:2025-10-11
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Dual-Layer Optimization Scheduling of Data Center Based on Multi-Agent Proximal Strategy Network
“The new generation of information and communication technology is driving the development of the digital economy. Experts have proposed a dual layer optimization scheduling method for data centers based on multi-agent near end strategy networks, which effectively reduces system costs and energy consumption, and achieves optimal workload allocation.”
Southern Power System TechnologyVol. 19, Issue 4, Pages: 107-121(2025)
作者机构:
1.上海电力大学电气工程学院, 上海 200090
2.中国华电集团有限公司上海分公司, 上海 200120
作者简介:
基金信息:
the National Natural Science Foundation of China(52207121)
YANG Xiu,ZHANG Xiangyin,HUANG Haitao,et al.Dual-Layer Optimization Scheduling of Data Center Based on Multi-Agent Proximal Strategy Network[J].Southern Power System Technology,2025,19(04):107-121.
YANG Xiu,ZHANG Xiangyin,HUANG Haitao,et al.Dual-Layer Optimization Scheduling of Data Center Based on Multi-Agent Proximal Strategy Network[J].Southern Power System Technology,2025,19(04):107-121. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.009.
Dual-Layer Optimization Scheduling of Data Center Based on Multi-Agent Proximal Strategy Network