Application of C5.0 algorithm in failure prediction of smart meters

Smart Electric Meter Notification System Using Iot

“…Sook-Chin Yipet al [3] addressed the idea of Electricity felony with LR-ETDM algorithmic program, CVLR-ETDM algorithmic program, Two-tailed p-value Approach this method simply show the quantity of felony however there's no privacy it's been all over that we've designed associate degreed made an AMI take a look at rig to gaugethe performance of the planned linearregression-based energy felony detection algorithms in sensible gridsetting. Dr.P.Mathiyalagan, Ms.A.Shanmugapriya [5] created economical energy conservation policies should be enforced so as to scale back residential electricity consumption victimization R and Hadoop. It's been terminated that The streaming information is loaded into HDFS in a veryhive table, that is additional exported into Rso as to perform prophetic analysis and cargo profileanalysis.Yang Jincheng, Jiang Ping, et al [6] uses the technology ofC5.0 algorithmic program with good meter failure happens thus it ought to be known and also the limitation is merely halfdozen attributes that will have an effect on the good meters were elect to investigate during this paper it's been finished that Results from example verification indicate that accuracy of failure prediction model for good meters supported C5.0 algorithmic program.…”

Building student’s performance decision tree classifier using boosting algorithm

“…C5.0 well performs on liver disease prediction when hybridized with a genetic algorithm which can optimize the rule [28]. Jincheng et al [29] were implemented C5.0 to predict failure of smart meters. Nia and Khalili [30] build intrusion detector on the computer network using C5.0 as a classifier.…”