Power Communication Network Bandwidth Prediction Based On NSS-DBA Model

With the development of power communication network, the service data carried by power communication network increases exponentially, which puts forward higher requirements for the processing capacity of power communication network. In order to guarantee the service quality of the communication network, a deep confidence-based power communication bandwidth prediction algorithm is proposed in this paper, which has good robustness for nonstationary sequences. The experimental results show that, compared with the traditional neural network algorithm, the proposed algorithm has more advantages in predicting accuracy and robustness, can improve the carrying capacity of the power communication network, and provide a strong guarantee for the safe and stable operation of the power system.