基于5G的智能电网负荷预测研究
Research on Smart Grid Load Forecasting Based on 5G
郭彩云 1孟昭雪1
作者信息
- 1. 国网山东省电力公司莱芜供电公司,山东 济南 271100
- 折叠
摘要
基于 5G的智能电网负荷预测研究旨在解决电力需求高速增长背景下的电网运行挑战.因此,提出一种综合利用5G网络特性、边缘计算、深度学习技术的负荷预测方法,以提高预测精度和效率.通过实验证实,该方法在数据采集、预处理、负荷预测方面表现出显著优势,有效提升了预测的准确性和时效性.
Abstract
The research of smart grid load forecasting based on 5G aims to solve the challenges of power grid operation under the background of rapid growth of power demand.Therefore,a load forecasting method that comprehensively utilizes the characteristics of 5G network,edge calculation and deep learning technology is proposed to improve the forecasting accuracy and efficiency.Experiments show that this method has obvious advantages in data acquisition,preprocessing and load forecasting,which effectively improves the accuracy and timeliness of forecasting.
关键词
5G/智能电网/负荷预测Key words
5G/smart grid/load prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据