2012 · 23 citations · 0 references
ComputingComputer ScienceElectrical EngineeringData AnalyticsData MiningMachine LearningElectricity Load ManagementEnergy Demand ForecastingEnergy MeteringLoad ForecastingPower ManagementTime Series ClusteringCorrelation AnalysisElectricity Use BehaviorEnergy Consumption AnalyticsEnergy Data AnalyticsEnergy Use PredictionLoad ClusteringPower ConsumptionPower Consumption Modeling
In this paper, the key technologies of data mining are firstly studied detailedly, and huge data of intelligent power consumption are transformed into valued knowledge which applies advanced data mining technology based on the huge data. It focuses on the application in the intelligent power consumption field, and the applications, such as classification of power customers, analysis of power consumption of intelligent appliance, analysis of abnormal family electricity consumption and so on, which are realized by clustering algorithm, correlation analysis algorithm and outlier analysis algorithm. The analysis results can lead power consumers to use electricity rationally, and provide decision support for power companies.