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基于多元统计方法的酒店建筑能耗分析研究
引用本文:许巧玲,陈晓彦,赵超,黄云云.基于多元统计方法的酒店建筑能耗分析研究[J].福州大学学报(自然科学版),2011,39(2):249-253.
作者姓名:许巧玲  陈晓彦  赵超  黄云云
作者单位:福州大学节能技术研究中心;
基金项目:福建省科技重大专项经费资助项目(闽科技[2008]88号)
摘    要:以福建省建筑节能监管体系建设工作为基础,介绍了本地区酒店建筑的能耗现状.选取了建筑面积、空调冷源侧功率等8个主要能耗影响因素作为回归分析初始变量,通过主成分分析,提取出3个主成分,并在此基础上,建立了酒店建筑能耗二次回归模型,从统计学及实践两个角度验证了该模型的准确性和有效性.

关 键 词:建筑能耗分析  SPSS  主成分分析  多元回归分析  酒店

A study on energy performance of hotel buildings by using multivariable statistics analysis
XU Qiao-ling,CHEN Xiao-yan,ZHAO Chao,HUANG Yun-yun.A study on energy performance of hotel buildings by using multivariable statistics analysis[J].Journal of Fuzhou University(Natural Science Edition),2011,39(2):249-253.
Authors:XU Qiao-ling  CHEN Xiao-yan  ZHAO Chao  HUANG Yun-yun
Institution:XU Qiao-ling,CHEN Xiao-yan,ZHAO Chao,HUANG Yun-yun(Energy Conservation Technology Research Center of Fuzhou University,Fuzhou,Fujian 350108,China)
Abstract:Based on the Fujian building energy-conservation supervision system,this paper presents a multivariate statistic method to analyze the energy consumption performance of hotel building.By using principal components analysis technique,three main affecting factors are extracted from energy consumption data including 8 feature factors.In addition,the predicted model to hotel building energy consumption,with respect to obtained three principal components,is developed based on the multivariable regression method....
Keywords:building energy consumption analysis  SPSS  principal component analysis  multivariable non-linear regression  hotel  
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