基于信念函数理论的建筑供暖管理

2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI:10.1109/ICOSC.2016.7507074

A. Makhlouf, B. Marhic, L. Delahoche, L. Chrifi-Alaoui, H. Messaoud

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引用次数: 0

摘要

为了设计智能供暖系统，本文提出了一种数据融合系统，对建筑中的不确定性进行建模和处理。数据融合模型提供了一个温度趋势，将被插入到智能和预测供暖系统中，以减少建筑物的能源消耗。多级数据融合模型是基于信念函数理论的。不同的模拟进行了，并给出了非常满意的结果，尽管数据的复杂性。

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Building heating management based on the belief functions theory

This paper presents a data fusion system, which models and handles uncertainties in buildings, in order to design a smart heating system. The data fusion model provides a temperature trend that will be inserted in smart and predictive heating systems in order to reduce energy consumption in the building. The multilevel data fusion model is based on the belief functions theory. Different simulations were carried out and give very satisfactory results, in spite of the complexity of the data.

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2016 5th International Conference on Systems and Control (ICSC)

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