Fitting Analysis of Daily Electricity Combining Metering Online Monitoring and Intelligent Diagnosis
Aiming at addressing data loss and abnormality in existing data acquisition systems,the fitting accuracy and re-liability of the daily power data are improved through metering online monitoring and intelligent diagnosis technology.The abnormal screening rule of daily frozen electricity value and daily electricity fitting model based on metering online monito-ring technology are adopted.The abnormal screening rules are designed to accurately identify the data problems,and the daily load valuation method and the reference daily power weighted average method are calculated for different situations.The experimental results show that the proposed method can effectively deal with the missing and abnormal daily electrici-ty data,and ensure that the fitting results are consistent with the actual electricity consumption trend.It is concluded that the proposed model and algorithm show high accuracy and reliability when handling the missing data caused by communi-cation failure or equipment failure.