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Modelling diversity in building occupant behaviour: a novel statistical approach

机译:建立居住者行为中的多样性模型:一种新颖的统计方法

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摘要

We propose an advanced modelling framework to predict the scope and effects of behavioural diversity regarding building occupant actions on window openings, shading devices and lighting. We develop a statistical approach based on generalised linear mixed models to account for the longitudinal nature of observations on occupants, and to provide a coherent method to capture observed variability amongst occupant/room pairings through built-in probabilistic terms describing occupant diversity in a tractable manner within building energy simulation. The contribution of the proposed method is demonstrated using collected behavioural data from three long-term monitoring campaigns (an office building in Switzerland and residential units in Germany and Denmark).
机译:我们提出了一个高级建模框架,以预测有关在窗户开口,遮光设备和照明设备上的居住者行为的行为多样性的范围和影响。我们开发了一种基于广义线性混合模型的统计方法,以说明对乘员的观察的纵向性质,并提供一种连贯的方法,以通过内置的概率术语(以易处理的方式描述乘员多样性)来捕获观察到的乘员/房间对之间的变异性在建筑能源模拟中。通过从三个长期监视活动(瑞士的办公楼以及德国和丹麦的住宅单元)收集的行为数据证明了该方法的贡献。

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