Efficiency Improvement of Deepening Data Application of State Grid Power under Machine Learning Algorithm

In the process of deepening the data processing of State Grid Power, a machine learning algorithm is proposed to solve the problem that the data efficiency of State Grid Power cannot be effectively improved. Using mechanical learning theory to classify the power data of State Grid and find mining strategies for all kinds of data; Then, under the guidance of machine learning theory, we find the best data efficiency improvement strategy. The results show that the machine learning algorithm can improve the accuracy of data processing and shorten the time of data deepening.