Optimization of Electrical Testing and Verification Methods for Communication Power Supplies in Power Systems
Power system communication power supply plays a key role in ensuring the stability of information transmission.Firstly,the basic functions,existing problems and challenges of communication power supply are sorted out,and the current situation of electrical test and verification methods is deeply analyzed to reveal the problems and limitations of traditional methods.Secondly,the application of machine learning in electrical test and verification is introduced,including the basic knowledge of machine learning,its application in power system and optimization design,covering key steps such as data collection and preparation,model selection and training,real-time monitoring and adjustment.Finally,the experimental results before and after optimization are compared and analyzed,which proves that machine learning has remarkable effect in electrical test and verification method.
electric power systemscommunication power supplyelectrical testmachine learningoptimization strategy
NETL
NSTL
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