Author(s)

Xin He, Yangang Qu, Senda Zhang, Xin Cui, Weigang Yin

Beijing China-Power Information Technology Co., Ltd., Beijing, China.

As the construction of smart grids advances, the volume of data generated by power systems is experiencing explosive growth, covering all aspects of the business process, including power generation, transmission, distribution, and consumption. This study focuses on the integration of artificial intelligence with power big data, analyzing the characteristics and application needs of power big data. It explores the application scenarios of AI technology in areas such as power system operation monitoring, fault diagnosis, and load forecasting. By integrating practical power business needs, the study proposes an AI-driven architecture design for power big data, which includes data collection, processing, analysis, and application. The aim is to enhance the intelligence level of power systems through technological integration, providing theoretical support and practical guidance for their safe, efficient, and economical operation.

Artificial Intelligence, Power Big Data, Application Analysis, Architecture Design, Power System

He, X. , Qu, Y. , Zhang, S. , Cui, X. and Yin, W. (2025) Research on Application Analysis and Architecture Design of Artificial Intelligence in Power Big Data. Journal of Computer and Communications, 13, 160-170. doi: 10.4236/jcc.2025.137008.