Automated Detection System for Power Consumption Information Collection Communication Unit Based on Deep Learning
The rapid development of smart grid puts forward higher requirements for real-time monitoring of power consumption information collection and communication units.This paper explores an automatic detection system based on deep learning to realize intelligent fault diagnosis,state evaluation and trend prediction of communication units.The simulation results show that the system has good cross-scenario generalization ability,which provides new ideas and technical support for the reliable operation of smart grid.
smart gridselectricity consumption information collectioncommunication unit
NETL
NSTL
万方数据
