Building heating management based on the belief functions Theory

被引：0

作者：

Makhlouf, Ameni ^{[1
,2
]}

Marhic, Bruno ^{[1
]}

Delahoche, Laurent ^{[1
]}

Alaoui, Larbi Chrifi ^{[1
]}

Messaoud, Hassani ^{[2
]}

机构：

[1] LTI EA 3899, Dept Informat, Ave Fac Bailly, F-80000 Amiens 1, France

[2] ENIM, Lab Rech Automat Traitement Signal & Image LARATS, Rue Ibn El Jazzar, Monastir 5000, Tunisia

来源：

2016 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC) | 2016年

关键词：

Belief Functions Theory; Multilevel fusion; Building management system; ENERGY MANAGEMENT; SYSTEMS; OPERATION; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：427 / 432

页数：6

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