Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven
Intelligent Driving Method and Efficient Solving Technology for Optimizing Scheduling of New Power Systems|更新时间:2025-07-29
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Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven
“New progress has been made in energy conservation and emission reduction research in data centers, and a comprehensive energy system scheduling strategy framework based on data model hybrid driving has been proposed, providing reference for research in this field.”
Southern Power System TechnologyVol. 19, Issue 3, Pages: 174-188(2025)
作者机构:
1.上海电力大学电气工程学院, 上海 200090
2.清华大学自动化系智能与网络化系统研究中心, 北京 100084
作者简介:
基金信息:
the National Key Research and Development Program of China(2022YFA1004600)
FAN Hong,XU Tao,JIA Qingshan.Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven[J].Southern Power System Technology,2025,19(03):174-188.
FAN Hong,XU Tao,JIA Qingshan.Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven[J].Southern Power System Technology,2025,19(03):174-188. DOI: 10.13648/j.cnki.issn1674-0629.2025.03.016.
Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven