Research on the Operation State Monitoring and Prediction of the Main Distribution Network Equipment Based on Deep Learning
To improve the operational safety and efficiency of the power grid,a deep learning based method for monitoring and predicting the operational status of main distribution network equipment is proposed.This method can automatically learn features from the operating parameters of the main distribution network equipment,accurately judge the current state,and predict its future state.At the same time,it has high accuracy in state monitoring and prediction tasks,providing strong support for power grid operation and ensuring stable operation of the power grid.
main distribution networkdeep learningpower system
NETL
NSTL
万方数据
