微型电脑应用2023，Vol.39Issue(12)：175-178,4.
新能源发电系统基础数据监控及核查方法
Monitoring and Verification Methods of Basic Data of New Energy Power Generation System
唐亮 1隋仕伟 2梁晓伟 3刘单华 3吴轲2
作者信息
- 1. 国网安徽省电力有限公司,安徽,合肥 230000
- 2. 国电南瑞南京控制系统有限公司,江苏,南京 210000
- 3. 国网安徽省电力有限公司营销服务中心,安徽,合肥 230000
- 折叠
摘要
Abstract
The new energy power generation system plays an important role in the power system.Aiming at the problem of backward monitoring and verification ability of existing technology,a new method of basic data monitoring and verification of new energy power generation system is designed.By improving BP neural network model and adding EMD empirical mode de-composition(EMD)algorithm.Improves the data analysis capability of the new energy power generation system.Experiments show that the method proposed is time-saving,high in accuracy and low in error.关键词
新能源/发电系统/数据监控/改进型BP神经网络模型/数据分析Key words
new energy/power generation system/data monitoring/improved BP neural network model/data analysis分类
信息技术与安全科学引用本文复制引用
唐亮,隋仕伟,梁晓伟,刘单华,吴轲..新能源发电系统基础数据监控及核查方法[J].微型电脑应用,2023,39(12):175-178,4.
