Data Driven Electric Energy Metering Device Current Integration Method Error Evaluation of Electricity Quantity Estimation Error
In order to reduce the measurement error of using current integration method to calculate erroneous elec-tricity during the fault period of electric energy metering devices,this article introduces paired t-test and Bootstrap sampling method to scientifically calculate the correction coefficient of erroneous electricity.Firstly,based on the paired t-test method,a small sample set is used to test whether there is a significant difference between the estimat-ed electricity consumption during the normal time period calculated by the traditional current integration method and the actual electricity consumption.Then,using the rolling Bootstrap sampling method,a large sample dataset is ob-tained,and the ratio of the two is calculated to obtain the correction coefficient for the estimated electricity con-sumption.Finally,the above process was validated through computational experiments.The results indicate that small sample paired t-test can reduce the workload of calculating erroneous electricity,while large sample estimation can make the estimation of correction coefficients more reliable and reduce estimation errors.
high pressure meteringcurrent integration methodBootstraprolling samplingerror correction
万方数据
维普
