Research on Data Fusion and Sharing Based on Power Big Data

This paper addresses the issues of data silos and information asymmetry in the power industry, proposing a data fusion and sharing platform based on power big data. The paper also presents practical operations and application case demonstrations. The platform optimizes and integrates various stages of power big data collection, storage, processing, and sharing, providing new ideas and methods for the digital transformation and intelligent upgrading of the power industry. Additionally, this paper proposes corresponding solutions to address security and privacy concerns that may arise during the data fusion and sharing process. Through the establishment of an experimental environment and practical operations, the feasibility and effectiveness of the platform are verified, offering new insights and approaches for the digital transformation and intelligent upgrading of the power industry.