Mathematical Model-Based Analysis of Distribution Metwork Operation and Maintenance Costs
Operation and maintenance(O&M)of distribution networks is an important part of the investment of grid companies,and accurate estimation of network O&M costs is required in order to optimize the investment strategy.In view of this,an accurate cost prediction model integrating Grey Relational Analysis(GRA)and Artificial Neural Network(ANN)is constructed,and the experimental results of the model show that the mathematical model significantly reduces the number of input variables required for the ANN prediction model,which in turn effectively improves the prediction accuracy and efficiency of the model.The results show that the mathematical model significantly reduces the number of input variables required for the artificial neural network prediction model,which in turn effectively improves the prediction accuracy and efficiency of the model,and verifies the superiority of the method in improving the accuracy of cost prediction.
distribution networkgray correlation analysisartificial neural networkprediction model
NETL
NSTL
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