One-stop Demand Response Prediction Method Based on DBN Deep Learning Algorithm
In order to improve the speed of request response,this research proposes a one-stop request response technology based on machine learning.ADR server and DR operation management are used in the physical architecture to achieve one-stop request response.Modeling tools are used to build example diagrams and describe the operation details of the request response.It realizes the logical analysis of the one-stop request response through the perception layer,network layer and application layer of the logical architecture.The machine learning prediction method and the deep belief network(DBN)are used to realize the one-stop request response prediction.Experiments show that the response time of the system proposed is at least 1.1 s in tes-ting the speed of response,and when testing the accuracy of response prediction,the accuracy of response prediction is up to 97％.
machine learningappeal responseADRmodelingDBN deep learning algorithm
万方数据
维普
