Analysis and Design of Online State Grid Electric Power Big Data Application Value and Sharing Platform based on BP Algorithm

Analysis and design of online state grid electric power big data application value and sharing platform based on BP algorithm is the focus of this paper. The security of power big data is the premise of the digital security transformation of power grid, and also an important guarantee for the core implementation of the new smart grid in China. Although cloud computing power can improve the utilization of social resources, there is a possibility of privacy leakage when power big data is directly applied to third-party computing platforms. Hence, for the better analysis, the optimized BP NN is defined. The genetic optimization BP algorithm has a variety of optional training strategies, in order to meet the requirements of containerized deployment commonly used in the development of the current information systems. These ideas are then combined to construct an efficient big data application value and sharing platform. The performance of the model is then evaluated by testing under different aspects.