计算机科学与探索2026，Vol.20Issue(8)：2162-2183,22.DOI:10.3778/j.issn.1673-9418.2509035
数据驱动下的数据中心温度预测研究综述
Review of Data-Driven Temperature Prediction for Data Centers
摘要
Abstract
With the growing concern over energy consumption and heat dissipation in data centers,temperature control has become a pivotal factor in maintaining operational efficiency and extending equipment lifespan.Accurate temperature prediction plays a vital role in this process.However,traditional methods primarily rely on physical models and rule-based frameworks,which struggle to adapt to complicated and changeable operational environment.In recent years,data-driven methodologies have emerged as a promising alternative.This review systematically reviews data-driven research on data center temperature prediction,focusing on core dimensions such as hierarchical structure,time scales,and cooling systems.It refines core concept definitions,analyzes data types and feature distributions,and evaluates their influence on model performance.It synthesizes research progress in machine learning,deep learning,and hybrid modeling approaches,highlighting their contributions to enhancing predictive accuracy and robustness.The review indicates that deep learning models are particularly effective in capturing complex spatiotemporal dependencies,while hybrid models offer comple-mentary advantages by integrating the strengths of multiple paradigms.Potential research directions are discussed,includ-ing multimodal data fusion,adaptive learning,and edge-intelligent temperature prediction frameworks.关键词
数据中心/温度预测/数据驱动/机器学习/深度学习/混合模型Key words
data center/temperature prediction/data-driven/machine learning/deep learning/hybrid modeling分类
信息技术与安全科学引用本文复制引用
樊宇,李进,李雷孝,刘东江,万剑雄,林浩..数据驱动下的数据中心温度预测研究综述[J].计算机科学与探索,2026,20(8):2162-2183,22.基金项目
内蒙古自治区首批"五大任务"关键技术研究专项(NMGWDRW2025-03) （NMGWDRW2025-03）
内蒙古自治区高等学校创新团队发展计划数据智能与安全(NMGIRT2506) （NMGIRT2506）
内蒙古自治区高等学校青年科技人才发展项目(NJYT24035) （NJYT24035）
内蒙古自然科学基金(2025QN06016). This work was supported by the Special Research Projects on Key Technologies on the First Batch of the Five Major Tasks of Inner Mongolia Autonomous Region(NMGWDRW2025-03),the Data Intelligence and Security of Higher Education Innovation Team Devel-opment Program of Inner Mongolia Autonomous Region(NMGIRT2506),the Young Scientific and Technological Talent Development Project of Inner Mongolia Autonomous Region Colleges and Universities(NJYT24035),and the Natural Science Foundation of Inner Mongolia(2025QN06016). （2025QN06016）
