Automatic Abnormal Detection Method of Power Dispatching Data Based on Big Data Analysis
In order to effectively detect anomalies in power dispatch data,a big data analysis based automatic anomaly detection method for power dispatch data is designed.Utilize big data analysis techniques to collect massive amounts of power dispatch data and construct a time series model.Extract abnormal feature parameters to characterize data volatility.Update the dataset and create multiple sub anomaly detectors in the anomaly detector to achieve automatic detection of anomalies in power dispatch data.The experimental results show that the design method has achieved a high accuracy rate of 384 and 323 for anomaly detection,respectively.
big datapower dispatchingdata anomalyautomatic detection
万方数据
维普
