Rapid detection method for power load abnormal data based on empirical mode decomposition
An empirical mode decomposition and power load technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as load drastic changes, load data collection and transmission errors, load curve fluctuations, etc., to achieve high accuracy and operability High and fast detection and mining effects
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[0031] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following descriptions are only examples and not intended to limit the scope of the invention and its application.
[0032] figure 1 is a flowchart of the present invention. figure 1 Among them, the method provided by the invention comprises the following steps:
[0033] Step 1: Data preprocessing, establish training sample set and test sample set.
[0034] For the selected data of the embodiment, firstly, the missing data in the collected data is eliminated, and the entire sample set is arranged in time sequence to establish an initial sample set. Divide the initial sample set into training sample set and test sample set. Among them, the training sample set is used to establish the abnormal data detection model of electric load and estimate the model parameters, and the test sample set is the sample data segment to be detected....
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