Research on Demand Response Data Compression Based on Neural Network under 5G Environment

Author:

Pan Yuqing1,Qi Bing1,Li Bin1,Zhu Enguo2,Liu Yan2,Lu Chunguang3,Wang Chaoliang3

Affiliation:

1. School of Electrical and Electronic Engineering, North China Electric Power University,Beijing,China

2. China Electric Power Research Institute,Beijing,China

3. State Grid Zhejiang Electric Power Co., Ltd.,Hangzhou,China

Publisher

IEEE

Reference18 articles.

1. Data Compression and Storage Method of Massive Multivariate Heterogeneous Smart Grid Based on State Estimation[J];Xingming;Electric Machines & Control Application,2023

2. One of Adaptive Grouping Huffman Data Compression Algorithm Based on Same Frequency[J];Wenjuan;computer engineering & Software,2022

3. Optimal transmission algorithm for LTE-5G data based on joint coding error elimination mechanism[J];Hui;Computer Engineering and Design,2018

4. THE APPLICATION OF WAVELET NEURAL NETWORK IN SPECTRAL DATA COMPRESSION AND CLASSIFICATION[J];Ke;Journal of Infrared and Millimeter Waves,2022

5. A Lossless Compression Method of Power Data Gated Recurrent NeuralNetwork Based on Genetic Clustering Optimization[J/OL];Zhijian

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