Abnormal electric quantity data identification method based on limit value learning

The invention discloses an abnormal electric quantity data identification method based on limit value learning. The method comprises the following steps: analyzing abnormal electric quantity data to obtain the type and identification algorithm of the abnormal electric quantity data; then, analyzing and researching an OnClassSVM algorithm; learning the identification limit value of the abnormal electric quantity data to obtain a limit value learning table, checking the abnormal electric quantity data of the historical data through the limit value learning table, and then checking an outlier inthe historical data through analyzing a density-based clustering algorithm DBSCAN algorithm to realize abnormal electric quantity data identification based on limit value learning; finally, analyzingand researching the same density-based clustering algorithm LOF algorithm, combining the two density-based clustering algorithms to carry out an experiment, and carrying out outlier identification onthe multi-dimensional data