中图分类号：TP399文献标志码：ADOI:10.19358/j.issn.2097-1788.2026.04.011
中文引用格式：国丽，朱永春，丁浩. 可信数据空间在电力行业的应用研究［J］.网络安全与数据治理，2026，45（4）：81-86.
英文引用格式：Guo Li, Zhu Yongchun, Ding Hao. Research on the application of trusted data space in the power industry［J］.Cyber Security and Data Governance，2026，45（4）：81-86.

Research on the application of trusted data space in the power industry

Abstract： With the further advancement of the marketoriented reform of power trading and the proposal of the "dual carbon" goals, the power trading modes have become increasingly complex. As the core support for the construction of intelligent applications in power trading, data quality and coverage directly determine the quality and value of such applications. This paper focuses on the issue of the integrated and joint application of multientity data related to power trading based on the trusted data space. First, it expounds the core importance of data in the intelligent applications of power trading. Second, it sorts out various types of data resources adopted by intelligent applications in existing research. Furthermore, it analyzes the types of crossdomain and crossentity data that can be introduced to improve the level of intelligent applications. Subsequently, it proposes a solution for realizing secure and trusted sharing and application of multi-entity data based on the trusted data space, as well as the value and utility of the data space in data circulation. This research can provide a reference for the optimization and upgrading of intelligent applications in power trading and the efficient development of multientity collaboration.

Key words : power trading; trusted data space; data security; data sharing