Abstract
In the past decade, electric power data has undergone a transformation from non-existent to centralized management. The management efficiency and accumulated quantity have reached a high level. Furthermore, this data is widely applied in various fields of the electric power industry and plays a significant role. This article studies the multi-model data problems in many application scenarios in the electric power industry. Combining the characteristics and actual scenarios of the electric power industry, it deeply explores the data sources and characteristics of various tasks, and integrates the path of artificial intelligence analysis in the multi-modal field to explore how to solve related problems in the electric power industry. Additionally, this article further expands on how weakly supervised and semi-supervised methods can be utilized in the electric power industry and proposes suggestions.
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