基于主成分分析法的电力用户节能减排因素相关性分析  

Correlation Analysis on Energy Conservation and Emission Reduction for Electricity Consumers Based on Principal Component Analysis

作　　者：王冬[1,2] 杨永标[1,2] 高辉[3] 潘本仁[4] 黄莉[1] 

机构地区：[1]国电南瑞科技股份有限公司,江苏南京210023 [2]中国电力科学院,江苏南京210003 [3]南京邮电大学,江苏南京210003 [4]国网江西省电力科学研究院,江西南昌330000

出　　处：《电器与能效管理技术》2015年第12期66-69,共4页Electrical & Energy Management Technology

基　　金：国家科技支撑计划重大项目(2013BAA01B01);国家电网公司2012年科技项目<以电网低碳化为特征的智能电网综合集成技术研究与示范>

摘　　要：为解决大量节能减排指标处理起来过于复杂的问题,选取了具有代表性的电力用户的节能减排指标,提出了利用主成分分析法来提取少量但又能反映原先指标信息的主成分的方法,有效降低了变量维数而又不造成信息的大量丢失。最后以某地区为例进行主成分分析,分析了电力用户的节能减排相关因素。To simply the analysis on energy conservation and emission reduction for electricity consumers, typical indexes were selected for reflecting electricity consumers＇ status of energy shortage and environment protection, the principal component analysis was adopted to reduce the number of indexes whereas without loss of the original information about energy conservation and emission reduction. Finally, an example was presented to demonstrate the analysis process of the proposed method for the electricity consumers in an actual region.

关 键 词：主成分分析 节能 减排 相关性分析 

分 类 号：TM769[电气工程—电力系统及自动化]