摘要
阐述基于5G基站负荷的不确定性和储能技术的应用,提出一种综合的负荷预测与调度系统。通过数据分析和机器学习模型构建负荷预测模型,结合储能装置的选择和调度优化策略,实现对5G基站负荷的有效管理与优化。
This paper expounds the uncertainty of 5G base station load and the application of energy storage technology,proposing a comprehensive load forecasting and scheduling system.It constructs a load forecasting model through data analysis and machine learning models,and combines energy storage device selection and scheduling optimization strategies to achieve effective management and optimization of 5G base station load.
作者
单辉
SHAN Hui(Shenzhen Kunyu Power Technology Co.,Ltd.,Guangdong 518000,China)
出处
《集成电路应用》
2024年第7期158-159,共2页
Application of IC
关键词
5G基站
负荷预测
储能调度
5G base station
load forecasting
energy storage scheduling
