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Bayesian network-based air-conditioning control considering of occupants requests

机译:基于贝叶斯网络的乘员需求空调控制

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In this paper, we propose an air-conditioning control methodology based on a prediction of occupant's request. Our method enables to predict how an occupant wants to operate switches on the air-conditioner control panel in certain thermal environment using the Bayesian Networks. To show our basic concept and detailed procedure, we first provide probability tables which presents the probabilistic distribution of occupants' requests at each temperature width. Next, we show the structure of Bayesian Networks. After that, using an example case, we describe how to predict occupants requests and how to update probability tables. Finally, we confirm our proposed method discussing our experimental results.
机译:在本文中,我们提出了一种基于乘员需求预测的空调控制方法。通过贝叶斯网络,我们的方法可以预测在特定的热环境中居住者如何操作空调控制面板上的开关。为了展示我们的基本概念和详细过程,我们首先提供概率表,该表显示了每个温度宽度上乘员的请求的概率分布。接下来,我们展示贝叶斯网络的结构。之后,以示例为例,我们描述如何预测占用者的请求以及如何更新概率表。最后,我们确认了讨论实验结果的拟议方法。

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