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投稿时间：2010-07-12
投稿时间：2010-07-12
中文摘要: 分析了建筑逐时能耗数据，研究了检测异常建筑逐时能耗的方法。该方法包括两个步骤，首先根据数据属性将相同条件下产生的逐时能耗数据进行分类，然后对同一类能耗数据进行分析，确定异常能耗点。实验证明该方法是有效的，可以优化建筑管理方式，达到节能的目的。
Abstract:A method for detecting abnormal building electricity consumption is described using collected hourly energy consumption data.It includes two steps: firstly,the data are classified
depending on their attribute,namely the data in the same set should be generated in amlost the same situation;then the outliers are detected in the same set based on statistic method.It determines whether abnormal energy consumption is existent.Expermients show the data analysis method is effective and promising since it can optmiize building operation systems and the purpose of energy saving can be achieved.
keywords: building energy consumption outlier detection classification and regression tree algorithm
文章编号：20110211 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 刘丹丹 | 上海电力学院计算机与信息工程学院 上海 200090 | lddlala@ 163.com |
| Author Name | Affiliation | |
| LIU Dandan | School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China | lddlala@ 163.com |
引用文本：
刘丹丹.建筑能耗异常的检测方法[J].上海电力大学学报,2011,27(2):149-152,159.
LIU Dandan.A Method for Detecting Abnormal Building Energy Consumption[J].Journal of Shanghai University of Electric Power,2011,27(2):149-152,159.
刘丹丹.建筑能耗异常的检测方法[J].上海电力大学学报,2011,27(2):149-152,159.
LIU Dandan.A Method for Detecting Abnormal Building Energy Consumption[J].Journal of Shanghai University of Electric Power,2011,27(2):149-152,159.