Establishment method and system of electricity stealing user prediction model, storage medium and equipment
A technology of prediction model and establishment method, which is applied in the field of establishment of electricity stealing user prediction model, which can solve problems such as strong dependence, inability to accurately and efficiently identify electricity stealing users, and inability to fully apply investigation and punishment methods for electricity theft
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Embodiment 1
[0054] Such as figure 1 As shown, the embodiment of the present invention provides a method for establishing a user prediction model for stealing electricity, including steps S101-S105.
[0055] S101. Obtain electricity consumption data of multiple users and power grid operation data of the stations to which the users belong.
[0056] Wherein, the step of obtaining user data includes:
[0057] Read the message log of the database;
[0058] According to the message log, it is judged whether the electricity consumption data of the user and the operation data of the power grid of the station area to which the user belongs are complete;
[0059] If the user's power consumption data and the power grid operation data of the station area to which the user belongs have arrived, then collect the power consumption data of the user and the power grid operation data of the station area to which the user belongs from the database and analyze the abnormal data Conduct an audit.
[0060]...
Embodiment 2
[0114] Please refer to figure 2 , the present embodiment provides a system for establishing a prediction model for electricity stealing users, including:
[0115] Acquisition module: used to obtain the electricity consumption data of multiple users and the operation data of the power grid in the station area to which the user belongs.
[0116] Analysis module: used to extract all features from the user’s electricity consumption data and the power grid operation data of the station area to which the user belongs, perform a correlation analysis between all the features and whether the user steals electricity, and extract all features from all Among the above features, the associated features that are highly correlated with whether the user steals electricity are screened out.
[0117] Wherein, the associated features include user ID, user power consumption time point, power consumption reduction ratio, number of times power factor is less than 0.8, station ID, current unbalanc...
Embodiment 3
[0145] Please refer to image 3 On the other hand, the present invention also proposes a device for establishing a predictive model of electricity stealing users, which is shown as the device for establishing a predictive model of electricity stealing users in the third embodiment of the present invention, including a memory 20, a processor 10, and a device stored in a memory and a computer program 30 that can run on the processor, and when the processor 10 executes the computer program 30, the above-mentioned method for establishing a predictive model for electricity stealing users is realized.
[0146] Wherein, the device for establishing the electricity stealing user prediction model may specifically be a computer, a server, a host computer, etc., and the processor 10 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller in some embodiments , a microprocessor or other data processing chips, for running program codes stored in the m...
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