摘要
办公建筑在民用建筑中占很大的比例,影响办公建筑能耗的因子种类多,变量之间相关性强。利用PCA算法,对影响办公建筑能耗的主要影响因子进行了主成分提取分析,以主成分累计贡献率达85%为确定标准,最终达到矢量降维的目的,便于后期构建影响因子与建筑能耗的关联性。这对于降低办公建筑的能耗有一定参考价值。
Office buildings account for a large proportion of civil buildings.The impact factors of energy consumption of office buildings have many kinds of characteristics and strong correlation between variables.The PCA algorithm is utilized to extract and analyze the main influencing factors that affect the energy consumption of office buildings,85%of the cumulative contribution rate of the main componentas a standard,achieving the purpose of reducing the dimension of the vector,easy to establish the correlation between impact factors and building energy consumption in the future.This has certain reference value for reducing the energy consumption of office buildings.
作者
王德晔
李永安
WANG De-ye;LI Yong-an(School of Thermal Engineering,Shandong Jianzhu University,Jinan 250101,China)
出处
《建筑节能》
CAS
2018年第12期40-42,共3页
BUILDING ENERGY EFFICIENCY
关键词
办公建筑
影响因子
PCA算法
累计贡献率
office building
impact factor
PCA algorithm
cumulative contribution rate
