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.
关键词
电力调度/数据异常/自动检测/大数据
Key words
big data/power dispatching/data anomaly/automatic detection
维普
万方数据