Identification of electricity consumption behavior of power users based on non-invasive load identification
In the power system,accurately identifying and analyzing the electricity consumption behavior of power users is of great significance for improving the operational efficiency of the power system,achieving demand response,and energy efficiency a-nalysis.Traditional methods for identifying electricity consumption behavior typically use intrusive collection methods,which can cause certain interference to users'normal electricity consumption activities.Therefore,a non-invasive load identification based meth-od for identifying the electricity consumption behavior of power users is proposed.Design a non-invasive load identification method based on PSOSC-MDTW to achieve non-invasive load identification for power users.Propose a power user behavior recognition model that combines XGBoost,LOF,BSMOTE,and CAE improved models to achieve power user behavior recognition.The test results show that the F1 score and AUC values reach their maximum when the mixed sampling parameter value is 0.3.
万方数据
维普
