Comprehensive energy load abnormal value detection method and device
A technology of comprehensive energy and outliers, applied in the field of outliers detection, to achieve good response effect, remarkable stability and reliability, and improve the efficiency of data cleaning
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Embodiment 1
[0054] See attached figure 1 , figure 1 It is a schematic flow chart of the main steps of the method for detecting abnormal value of comprehensive energy load according to an embodiment of the present invention. like figure 1 As shown, the comprehensive energy load abnormal value detection method in the embodiment of the present invention mainly includes the following steps:
[0055] Step S101: normalize the comprehensive energy load data to be detected;
[0056] Step S102: Identify outlier data in the comprehensive energy load data to be detected based on the normalized comprehensive energy load data to be detected and the pre-built SOM neural network.
[0057] In one embodiment, the step S101 may perform normalization processing on the comprehensive energy load data to be detected as follows:
[0058]
[0059] In the above formula, x and x' represent the actual load value and the normalized load sequence value, respectively, and x max and x min represent the maximum a...
Embodiment 2
[0083] Based on the same inventive concept, the present invention also provides a comprehensive energy load abnormal value detection device, such as figure 2 As shown, the comprehensive energy load abnormal value detection device includes:
[0084] The processing module is used to normalize the comprehensive energy load data to be detected;
[0085] The identification module is used for identifying outlier data in the comprehensive energy load data to be detected based on the normalized comprehensive energy load data to be detected and the pre-built SOM neural network.
[0086] Preferably, the identification module is specifically used for:
[0087] The normalized comprehensive energy load data to be detected is input into the pre-built SOM neural network, and the abnormal value data and corresponding abnormal types in the comprehensive energy load data to be detected output by the pre-built SOM neural network are obtained.
[0088] Further, the acquisition process of the p...
Embodiment 3
[0106] Based on the same inventive concept, the present invention also provides a computer device, the computer device includes a processor and a memory, the memory is used for storing a computer program, the computer program includes program instructions, and the processor is used for executing the Program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array ( Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, specifically suitable for loading And execute on...
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