Research on Application of Deep Learning Based on Mobile Learning in Smart Grid

Abstract

The rapid economic and social development cannot be separated from the important contribution and guarantee of the power industry. In the development of power industry, substation technology plays a very important role. The development of in-depth learning based on mobile learning provides an effective means for data value extraction. Therefore, it is of great significance to guide power enterprises to make correct decisions by making full use of these data based on the actual power grid and analyzing them in depth to discover and utilize the hidden information. Firstly, the basic framework of in-depth learning is elaborated, and the theoretical basis and technical system of mobile learning are summarized. According to the actual demand of power system, this paper summarizes the key application fields and values of mobile learning-based deep learning in power system data processing based on image data and spatio-temporal data, and puts forward relevant technical development suggestions.