检索结果-南通市图书馆

Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering

building Simulation 2021年第1期14卷 119-130页

作者： Matias Quintana Pandarasamy Arjunan Clayton Miller National University of Singapore SingaporeSingapore Berkeley Education Alliance for Research in Singapore(BEARS) SingaporeSingapore

Many energy performance analysis methodologies assign buildings a descriptive label that represents their main activity,often known as the primary space usage(PSU).This attribute comes from the intent of the design team based on assumptions of how the majority of the spaces in the building will be *** reality,the way a building’s occupants use the spaces can be different than what was *** the recent growth of hourly electricity meter data from the built environment,there is the opportunity to create unsupervised methods to analyze electricity consumption behavior to understand whether the PSU assigned is *** or oversimplification of the use of the building is possible using these labels when applied to simulation inputs or benchmarking *** work towards accurate characterization of a building’s utilization,we propose a modular methodology for identifying potentially mislabeled buildings using distance-based clustering analysis based on hourly electricity consumption *** method seeks to segment buildings according to their daily behavior and predict which ones are misfits according to their assigned PSU *** process finds potentially uncharacteristic behavior that could be an indication of mixed-use or a misclassified *** results on two public data sets,from the building Data Genome(BDG)Project and Washington DC(DGS),with 507 and 322 buildings respectively,show that 26%and 33%of these buildings are potentially mislabelled based on their load shape *** information provides a more realistic insight into their true consumption characteristics,enabling more accurate simulation *** of this process and a discussion of limitations and reproducibility are included.

关键词： uncharasteristic behaviour building energy use building energy benchmarking building performance rating primary-use-type analysis load profile clustering

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：