Monitoring Method for Alternating Current Power Supply Operation Status in Substations Based on ARIMA
Due to the large deviation of conventional power supply operation status monitoring methods,a substation alternating current power supply operation status monitoring method based on the Auto Regressive Integrated Moving Average(ARIMA)model is proposed to solve this problem.Collect samples of alternating current power supply operation status data,streamline the data cleaning process,construct a data cleaning model,clean the status data,divide the cleaned data into stable values,compare this value with the sample data center,and obtain the final monitoring results.The experimental results show that the monitoring values obtained by applying this method are most similar to the actual values of the sample data,which verifies the superiority of this method in monitoring data and has practical application value.
alternating current power supplydata extractiondata cleaningdata partitioning
万方数据
维普
