Abnormal data discrimination method based on multi-criterion fusion

Abstract

The invention discloses an abnormal data discrimination method based on multi-criterion fusion. The method comprises the following steps: S1, preprocessing a sample data set; S2, according to four detection models in the abnormal data discrimination model, establishing sample data sets corresponding to the four detection models respectively; S3, inputting the input data set of the deep learning method into the long-short-term neural network model for training, and obtaining the trained long-short-term neural network model; S4, respectively inputting the sample data sets into the correspondingmodels, discriminating abnormal values, and obtaining the probability that each data point is discriminated as an abnormal point by the corresponding model; and S5, fusing the discrimination result probabilities of the data points discriminated by the corresponding models, and judging a fusion result according to a set judgment criterion to obtain a final abnormal data discrimination result. The data abnormal point discrimination precision is improved, the data accuracy and the available value are also improved, and accurate data guarantee is provided for operation detection business.

Description

technical field [0001] The invention relates to the technical field of data mining of power systems, in particular to a method for identifying abnormal data based on multi-criteria fusion. Background technique [0002] With the development of computers, smart meters, and communication technologies and their widespread use in the actual operation of the power grid, the operation monitoring department of the power grid has more ways to obtain the massive power grid operation data, marketing data, and electrical equipment generated during the normal operation of the power system. Online monitoring data, etc. Massive data provide reliable support for a series of data processing and analysis services such as load forecasting business, electrical equipment abnormal operation status detection business, line loss analysis business, etc. for the power grid operation monitoring department, and promote the development of power grid business in the direction of refinement and intelligen...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: Aiming at the problem of low accuracy in identifying abnormal points in existing data, this invention proposes an abnormal data identification method based on multi-criteria fusion

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