Power grid fault first-aid repair duration prediction method based on multi-model fusion
A prediction method and technology for power grid faults, applied in prediction, instrumentation, data processing applications, etc., can solve the problems of neglecting weather, man-made damage, etc., and achieve the effect of accurate prediction results
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[0040] Starting from the historical fault repair work orders, this paper predicts the emergency repair time of power grid faults based on a variety of internal and external indicators. First, data cleaning is performed on the power grid fault data, and the power grid fault data is analyzed to explore the factors that affect the fault repair time. Use a variety of machine learning methods for modeling, and weight the prediction results to integrate the advantages of multiple models. Experiments show that the fault repair time prediction model of multi-model fusion is more accurate than the prediction result of the single model.
[0041] Specifically, as figure 1 As shown, the method for predicting the duration of network fault repair includes:
[0042] 11. Before the prediction of fault repair time, clean the input characteristic data to exclude abnormal data;
[0043] 12. Use the cleaned data for feature engineering construction, select feature data, and input the feature d...
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