Research on Power System Operation State Prediction Based on Improved Machine Learning
The data volume and dimensionality of the power system are huge,and it is of great significance to extract effective feature information from the massive data.Therefore,a new power system operation state prediction method based on improved machine learning is proposed.Collect power system operation data through system startup and login,device connection configuration,data collection,data transmission and reception,etc.Clean,convert,store,and mine the collected power system operation data.Input the mined features into the power system operation status prediction model to obtain the power system operation status prediction results.The results indicate that the prediction accuracy of the power system operation state prediction method based on improved machine learning is high,and it has high practical application value.
NETL
NSTL
万方数据
