Load characteristic abnormity identification method and device, electronic equipment and medium
A technology of load characteristics and abnormal identification, applied in the field of data processing, can solve problems such as incompleteness and inability to realize accurate management of user loads, and achieve the effect of improving extraction accuracy and efficiency, and saving manpower and time
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Embodiment 1
[0025] Figure 1A It is a schematic flow chart of a method for identifying abnormality of load characteristics provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying abnormalities in user electricity load characteristics, and the method can be executed by an abnormal identification device for load characteristics , the device may be implemented in software and / or hardware. Such as Figure 1A As shown, the method specifically includes the following steps:
[0026] S110. Acquire load characteristics to be identified within a preset load characteristic identification period.
[0027] Wherein, the load characteristics to be identified may be power characteristics to be identified or voltage characteristics to be identified, etc., and the load characteristics to be identified may be marked in the form of curves. The load characteristics can characterize the electricity consumption of the user in a period of time. For exampl...
Embodiment 2
[0057] figure 2 It is a flow chart of a load characteristic abnormal identification method provided by Embodiment 2 of the present invention. This embodiment is optimized and improved on the basis of the above-mentioned technical solutions.
[0058] Further, the operation of "clustering the load characteristics to be identified into at least two characteristic clusters according to a preset clustering algorithm" is refined into "determining the power consumption characteristics of the load characteristics to be identified; wherein, the The power consumption characteristics include peak value, valley value, peak time, valley time, peak generation period and valley generation period; according to the power consumption characteristics, the load characteristics to be identified are clustered based on a preset clustering algorithm , get at least two characteristic clusters." To improve the clustering of load characteristics to be identified, improve the identification efficiency a...
Embodiment 3
[0073] image 3 It is a schematic structural diagram of an abnormal identification device for load characteristics provided by Embodiment 3 of the present invention. The device for identifying abnormality of load characteristics provided by the embodiments of the present invention can execute the method for identifying abnormalities of load characteristics provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The device can be realized by means of software and / or hardware. Such as image 3 As shown, the device specifically includes:
[0074] A load characteristic acquisition module 301, configured to acquire load characteristics to be identified within a preset load characteristic identification period;
[0075] A class center curve determination module 302, configured to cluster the load characteristics to be identified into at least two characteristic clusters according to a preset cl...
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