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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Vice Dean of Graduate School
其他任职：建筑能源研究所所长
性别：男
毕业院校：哈尔滨建筑大学
学位：博士
所在单位：土木工程系
学科：供热、供燃气、通风及空调工程. 控制理论与控制工程. 建筑学
办公地点：大连市凌工路2号大连理工大学建设工程学院3号楼601室
联系方式：0411-84706260
电子邮箱：zjldlut@dlut.edu.cn
Sampling for building energy consumption with fuzzy theory
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论文类型：期刊论文
发表时间：2017-12-01
发表刊物：ENERGY AND BUILDINGS
收录刊物：Scopus、SCIE、EI
卷号：156
页面范围：78-84
ISSN号：0378-7788
关键字：Fuzzy theory; Information entropy; Sampling survey; Building energy consumption; Sample size
摘要：The foundation of energy saving is knowing the real status of building energy consumption. For various kinds and a great number of building energy consumption data, the fuzzy theory is applied for sampling. It would make data representational. Firstly, a fuzzy clustering method is used to classify the data set and then the samples are extracted from the subclass. A modified clustering algorithm based on entropy weight method is proposed. It can determine the number of the classification of data set. The simulation results indicate that the new method can directly determine the optimal sample size. This method is suitably applied for dynamic energy consumption data and is more accurate compared with the statistical method. (C) 2017 Elsevier B.V. All rights reserved.