Substation flood control risk prediction based on improved neural network
Kailing Chen,
Xinqian Xia,
Zhaojing Li
Abstract:With the frequent extreme rainstorm and flood events at present, it is necessary to carry out flood control transformation of substation in operation to avoid its damage by flood. By identifying and evaluating risks and taking corresponding pre-control measures, the risk of substation suffering from flooding can be reduced to the greatest extent. This paper presents a method for predicting substation flood control risk. Firstly, the finite element method (FEM) is used to preprocess the historical data of subst… Show more
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