期刊文献+

基于改进主成分分析的火电厂电气机组能耗识别研究 被引量:1

Research on Energy Consumption Identification of Electric Units in Thermal Power Plant Based on Improved Principal Component Analysis
下载PDF
导出
摘要 为了准确识别火电厂电气机组能耗,设计了一种基于改进主成分分析的火电厂电气机组能耗识别方法,利用图像识别,采集火电厂电气机组能耗识别信息,分析了火电厂机组耗能敏感性,建立火电厂电气机组能耗识别模型,进行了实验验证。结果表明,设计的能耗识别方法可以准确识别出火电厂电气机组能耗,具有一定的推广价值。 In order to accurately identify the energy consumption identification of electric units in thermal power plant,the study designs the identification methods based on improved principal component analysis,utilizes image identification,collects identifying information,analyzes the sensibility,establishes the identification model,and does experiment verification.The results show that the identification method of energy consumption can accurately identify energy consumption of thermal power plant,and it is worth promotion.
作者 伍伟强 Wu Weiqiang(Zhejiang Datang Wushashan Power Generation Co. LTD, Ningbo 315700, China)
出处 《黑龙江科学》 2022年第4期22-24,共3页 Heilongjiang Science
关键词 改进主成分分析法 火电厂 电气机组 能耗识别 Improved principal component analysis Thermal power plant Electric unit Energy consumption identification
  • 相关文献

参考文献6

二级参考文献58

共引文献29

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部