Power grid security situation predicting method based on improved deep learning model
A power grid security situation and deep learning technology, applied in the direction of forecasting, instrumentation, data processing applications, etc., can solve problems such as unexplained situation values, comprehensive understanding of power grid security situation, rarely analyze the trend dynamic characteristics of situation changes, and achieve The effects of improved prediction accuracy, increased speed, and powerful nonlinear mapping capabilities
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[0017] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.
[0018] Constructing the grid security situation evaluation index system and calculating the power grid security situation value are the prerequisites for power grid security situation prediction. For this reason, the present invention introduces the construction of the power grid security situation evaluation index system through the analytic hierarchy process. After the evaluation index system is established, the power grid security situation value of each time monitoring point can be calculated according to the index weight. In view of the characteristics of strong correlation and high dimensionality of the grid security situation assessment indicator data, an improved autoencoder method is proposed to reduce the dim...
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