A power system distribution substation load data abnormity detection and repair method
A load data and power system technology, which is applied in the field of abnormal detection and repair of load data in power distribution substations, can solve the problems of less research work on abnormal detection and repair and less use of machine learning tools, and achieves improved computing speed and reduced computing costs. , Improve the effect of fine-tuning accuracy
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[0064] The method for abnormal detection and repair of load data of power system distribution substation proposed by the present invention, its flow chart is as follows figure 1 shown, including the following steps:
[0065] (1) Collect the load data L of the power system distribution substation to be detected and repaired for N days (N needs to be greater than 180) and the temperature data T of the area where the distribution substation is located. Let the length of the load data collected every day in N days be H, for example, every Collect one point per hour, then H=24, for example, collect one point every 15 minutes, then H=96, and so on, the lengths of load data L and temperature data T are respectively N×H;
[0066] (2) Rearrange the load data L into a load data matrix L with N rows and H columns 1 , load data matrix L 1 Each row in corresponds to the load data of H periods in each day, and each column corresponds to the load data at the same time in different days;
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