Power System Fault Classification and Prediction Based on Intelligent Algorithms

Power system fault classification and prediction based on intelligent algorithms is a method that utilizes machine learning and data mining techniques to classify and predict fault conditions in power systems. This method can effectively prevent and avoid the occurrence of faults in the power system by collecting a large amount of power system data and using intelligent algorithms for processing to predict the type and location of faults that may occur in the power system, thereby improving the reliability and stability of the power system. This paper mainly applies the method of algorithm comparison and experiment to analyze the correlation of power system fault classification and prediction. Experimental data show that the recall rate and accuracy of the adaptive moment estimation algorithm mentioned in this article are both above 0.9, ranking first.