为了实现数据中心的节能和减排，将数据中心融于综合能源系统进行协同优化是实现这一目标的有效途径。首先阐述了数据-模型混合驱动策略的原理，并分别对模型驱动和数据驱动在综合能源系统中的应用情况进行综述。然后，详细介绍了数据中心的负荷预测模型以及数据-模型混合驱动在数据中心综合能源系统中的应用现状，在此基础上，提出了一种基于数据-模型混合驱动的数据中心综合能源系统调度策略框架。最后，对目前研究存在的问题进行了讨论，并对未来的发展方向做出展望，为该领域的研究人员提供参考。

To achieve energy efficiency and emissions reduction in data centers, integrating data centers into integrated energy systems for collaborative optimization is an effective approach to achieve this goal. Firstly, the principles of a hybrid data-model driven strategy are explained, then the applications of model-driven and data-driven approaches in integrated energy systems is reviewed separately. Secondly, the load forecasting model of the data center and the current status of the application of a hybrid data-model driven method in integrated energy systems with data centers are introduced in detail. On this Basis, a framework for scheduling strategies in integrated energy systems with data centers utilizing a data-model hybrid drive is proposed. Finally, the current research issues are discussed, and an outlook on future development directions is provided, providing a reference for researchers in this field.