Development and Application of Artificial Intelligence Technology Based on Machine Learning Algorithm

Disastrous weather is the most important factor causing power grid defects and then power equipment failure. This paper attempts to find out the relationship between disastrous meteorological factors and power grid defects. By improving the existing APRO π I algorithm, an association model suitable for the southern coastal power grid is obtained. The paper also discusses the problem of low support caused by the number of samples. At the end of the paper, the application of the model is explained by an example of a southern power grid.