Research on Eliminating Redundancy in Electricity Information Transmission Based on Artificial Neural Network Algorithm

In order to reduce the storage space occupied by the compressed power information and realize the accurate elimination of redundant data, a method of eliminating the redundancy of power information transmission based on artificial neural network algorithm is proposed. According to the principle of artificial neural network, the transmission format of redundant power information is defined, and the redundant power information can be processed on demand according to the numerical level of information repetition rate index. From the perspectives of redundancy strength and aggregation coefficient, calculate the compression level of redundant power information, and complete the design of power information transmission redundancy elimination method based on artificial neural network algorithm. The results show that under the action of artificial neural network algorithm, the storage space occupied by compressed power consumption information is reduced $0.69\times 10^{12}$ Mb, which can avoid the repetition of information parameters, so as to realize the accurate elimination of redundant data.