基于改进决策树的新能源发电功率异常值检测研究
Research on Detection of Abnormal Power Values in New Energy Generation Based on Improved Decision Tree
邹斌斌 1李贞贞1
作者信息
- 1. 恒诚信国际工程咨询有限公司,山东济宁 272000
- 折叠
摘要
新能源发电功率数据较多且复杂程度高,为检测出新能源发电功率异常值并及时采取相应措施,保障发电系统的稳定运行,提出一种基于改进决策树的新能源发电功率异常值检测方法.精细化区分新能源发电功率数据,并基于改进决策树构建新能源发电功率异常值检测模型.通过该模型检测新能源发电功率异常值.实验结果表明,该研究方法的检测精确率较高,具有实用性.
Abstract
There are many and complex data on the power generation of new energy.In order to detect abnormal values of new energy power generation and take corresponding measures in a timely manner to ensure the stable operation of the power generation system,a new energy power generation abnormal value detection method based on an improved decision tree is proposed.Refine the differentiation of new energy generation power data,and construct a new energy generation power outlier detection model based on an improved decision tree,using this model to detect new energy generation power outliers.The experimental results indicate that the detection accuracy of this research method is high and practical.
关键词
改进决策树/新能源发电/功率异常值/检测方法/分布特性Key words
improving decision trees/new energy generation/abnormal power value/detection method/distribution characteristics引用本文复制引用
出版年
2024
NETL
NSTL
万方数据