Research on Accurate Prediction of User Side Electricity Load in New Power Systems
In the new power system,user electricity consumption behavior is complex and dynamic,and most of it comes from multiple sources of data.The diverse data sequences lead to low accuracy in electricity load prediction,which affects the prediction results.Therefore,a new research on precise prediction of user side electricity load in power systems is proposed.Firstly,collect a large amount of user side electricity load data and cluster these data to better understand and classify various load characteristics.Secondly,decompose the user side electricity load time series,and use time series analysis methods to process and model these data.Finally,compare and integrate the output results of various models in the time series to obtain more accurate prediction results.The results indicate that the prediction method can fully capture and understand user electricity consumption behavior,with high prediction accuracy and certain application value.
new power systemuser sideelectricity loadaccurate prediction
NETL
NSTL
万方数据
