基于决策树方法的建筑空调能耗数据分析  

Data Analysis of Building Air-Conditioning Energy Consumption Based on Decision Tree Method

作　　者：李锐[1] 刘鹏飞 王岩 LI Rui;LIU Peng-fei;WANG Yan(Beijing University of Civil Engineering and Architecture,Beijing 100044,China;China Architecture Design and Researcher Group,Beijing 100044,China)

机构地区：[1]北京建筑大学,北京100044 [2]中国建筑设计研究院有限公司,北京100044

出　　处：《建筑节能》2019年第8期14-18,共5页BUILDING ENERGY EFFICIENCY

基　　金：国家重点研发计划资助项目“基于全过程的大数据绿色建筑管理技术研究与示范”(2017YFC0704200)

摘　　要：公共建筑能耗监测系统在实际运行过程中积累了大量数据,需要对这些数据进行充分分析,得到其中有价值的信息和关联性信息。通过决策树和C4.5算法对建筑空调运行数据进行分析,说明了建筑空调能耗数据分析的基本流程和数据分析需要的相关信息。以某办公建筑为例,通过决策树进行分析,得到建筑空调不同能耗状态规则,通过数据分析得到的结果可以指导空调系统运行,提高系统能效。The energy consumption monitoring system of public buildings has accumulated a large amount of data,which needs to be analyzed to obtain valuable information and relevant information.The decision tree method and C4.5 algorithms are used to analyze the energy consumption data of building air-conditioning system,and analysis and the relevant information needed for data analysis are explained.Taking an office building as an example,the decision tree is used and the rules of different energy consumption states of the building air-conditioning system are obtained.The result of data analysis can guide the operation of air-conditioning system and improve the energy efficiency of the system.

关 键 词：建筑能耗 空气调节 数据分析 决策树 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]