文章基本信息

标题：Building Energy Management System Modelling via State Fuzzy Cognitive Maps and Learning Algorithms
本地全文：下载
作者：Vassiliki Mpelogianni ; Peter P. Groumpos
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：25
页码：513-518
DOI：10.1016/j.ifacol.2019.12.596
语种：English
出版社：Elsevier
摘要：The last decades the decrease of the energy consumed by the building sector has become a crucial subject. This is the reason why the modelling and control of Building Energy Management Systems (BEMS) has become a very important scientifc feld. In such a system where the human factor and the uncertainties caused by its presence play a very important role the need for intelligent, cognitive modelling methodologies becomes obvious. The State Fuzzy Cognitive Maps Methodology combined with Nonlinear Hebbian Learning techniques are used to model the behaviour of a BEMS and improve its response.
关键词：KeywordsFuzzy Cognitive MapsDecision MakingEnergy EfciencyNonlinear Hebbian Learning