Load curve convergence optimal inflection point recognition method
A technology of load curve and identification method, applied in the field of identification of optimal inflection point
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[0020] as attached figure 2 As shown, the specific steps of an embodiment of a load curve convergence optimal inflection point identification method proposed by the present invention are as follows:
[0021] (1) Data collection
[0022] Collect historical load data every 15 minutes (a total of 96 data points per day) in the region where the invention is to be implemented.
[0023] (2) Data preprocessing
[0024] The data collected in step S1 is preprocessed, and this step includes the following sub-steps
[0025] 1) Data completion
[0026] For the collected relevant data, it is inevitable that there will be loss and omission. For the missing data, the average value of the historical data at the same time should be used to complete.
[0027] 2) Data correction using wavelet denoising
[0028] For abnormal data, analyze whether it is an outlier point. In order to ensure the correct identification of the overall inflection point of the load curve, the outliers must be pro...
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