The operation control and energy management of distributed energy grid clusters rely on advanced information collection and data processing technologies. Enhancing the perception capability of the distributed energy grid and optimizing the configuration of information flow are particularly critical for the optimized regulation of distributed energy grid clusters. This chapter focuses on the information collection and data processing technologies for distributed energy grid clusters. By leveraging advanced technologies such as artificial intelligence and cloud-edge computing, it provides a detailed discussion on the modeling of physical information and the analysis of energy consumption behavior in distributed energy grid clusters. This lays the foundation for situational awareness (SA) of the operation of distributed energy grid clusters, paving the way for operation control and optimization in subsequent chapters.