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基于数据的建筑能耗分析与建模
引用本文:刘丹丹,陈启军,森一之,木田幸夫.基于数据的建筑能耗分析与建模[J].同济大学学报(自然科学版),2010,38(12):1841-1845.
作者姓名:刘丹丹  陈启军  森一之  木田幸夫
作者单位:1. 同济大学,电子信息工程学院,上海,201804;上海电力学院,计算机与信息工程学院,上海,200090
2. 同济大学,电子信息工程学院,上海,201804
3. 日本三菱电机先端技术研究所,日本,尼崎,661-8661
4. 日本三菱电机福山制作所,日本,福山,720-8647
基金项目:上海市重点学科建设基金资助项目,科技部国际科技合作资助项目,上海市科委国际合作资助项目
摘    要:对建筑能耗数据进行深入分析,提出了建立建筑电力能耗模型的方法.首先对建筑能耗进行了分项计量,统计了建筑逐时照明能耗数据,办公设备能耗数据以及办公人数,同时调查了建筑管理控制方式.经过分析可知,办公设备能耗数据与办公人数线性相关,而照明能耗数据与办公人数以及太阳辐射强度相关,但为非线性关系.根据不同类型数据的特点,分别建立了线性回归模型以及决策树模型.该模型可以预测建筑能耗并评估建筑管理方式对能耗的影响.

关 键 词:建筑电力能耗    线性回归算法    决策树    分类与回归树

Data based Analysis and Modeling of Building Electricity Energy Consumption
LIU Dandan,CHEN Qijun,Mori Kazuyuki and Kida Yukio.Data based Analysis and Modeling of Building Electricity Energy Consumption[J].Journal of Tongji University(Natural Science),2010,38(12):1841-1845.
Authors:LIU Dandan  CHEN Qijun  Mori Kazuyuki and Kida Yukio
Institution:College of Electronics and Information,Tongji University,Shanghai 201804,China;School of Computer and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China;College of Electronics and Information,Tongji University,Shanghai 201804,China;Advanced Technology R & D Center,Mitsubishi Electric Corporation,Amagasaki 661-8661,Japan;Fukuyama Works,Mitsubishi Electric Corporation,Fukuyama 720 8647,Japan
Abstract:The building electricity energy consumption models were established based on the analysis of building electricity energy consumption.Data were collected by hours about the office equipment energy consumption,lighting energy consumption and number of people.Investigations were made into the building management modes.Based on the collected data,a close relationship between equipment electricity energy consumption and number of people was found and the linear regression model was then developed.Lighting energy consumption was found to be related with number of people and solar radiation intensity,but the relationship was nonlinear.A classification model was developed with the decision tree algorithm.With the models,electricity consumption can be predicted hourly and the impact of building management mode on power demands can be assessed.
Keywords:building electricity energy consumption  linear regression algorithm  decision trees  classification and regression trees
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