An anomaly detection method for power dispatching monitoring data based on dynamic integration of reversed information entropy
A technology for power dispatching and anomaly detection, applied in data processing applications, information technology support systems, instruments, etc., can solve problems such as increasing the false alarm rate, lack of historical abnormal data data characteristics, etc., and achieve the effect of improving detection ability and performance.
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[0042] In order to better understand the technical solution of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings.
[0043] It should be clear that the described embodiments of the invention are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0044] The invention provides a method for abnormal detection of power dispatch monitoring data based on dynamic integration of inversion information entropy. In order to meet the abnormal detection of power dispatch monitoring data, the present invention evaluates the performance of the base classifier according to the historical data near the data to be detected and selects the base classifier with better performance to detect the ...
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