遇见数据集

Domestic active occupancy model - simulation example

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Figshare2008-01-01 更新2026-05-11 收录
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This Excel Workbook provides an example of a domestic house active-occupancy simulation. The model generates stochastic data sets representing the number of active occupants in a house, over a 24-hour period, at a ten-minute resolution. An active occupant is defined as a person who is in a house, but is not asleep. The model is run by inputting the number of residents who live in a house and whether data for a weekend or weekday is required. The simulation uses data derived from the UK 2000 Time Use Survey, available from the UK Data Archive. The Workbook contains all the necessary data to run the simulation, together with the Visual Basic source code. The operation of the model is discussed in the journal paper: Ian Richardson, Murray Thomson, David Infield, A high-resolution domestic building occupancy model for energy demand simulations, Energy and Buildings, Volume 40, Issue 8, 2008, Pages 1560-1566, ISSN 0378-7788, DOI: 10.1016/j.enbuild.2008.02.006.

本Excel工作簿提供了一个住宅活跃占用模拟的示例。该模型可生成随机数据集,以10分钟的时间分辨率呈现24小时内住宅内活跃占用者的数量。活跃占用者的定义为身处住宅内且未处于睡眠状态的人员。运行该模型时,需输入住宅的常住居民人数,并指定所需数据为工作日还是周末时段的数据。本模拟所用数据源自英国数据档案馆(UK Data Archive)公开的《2000年英国时间使用调查》。本工作簿包含运行该模拟所需的全部数据,以及Visual Basic源代码。该模型的运行方法已在以下期刊论文中详细论述:Ian Richardson、Murray Thomson、David Infield所著《用于能源需求模拟的高分辨率住宅建筑占用模型》,刊载于《能源与建筑》(Energy and Buildings)2008年第40卷第8期,页码范围1560-1566,ISSN 0378-7788,DOI: 10.1016/j.enbuild.2008.02.006。

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2008-01-01
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