Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition

With the fast development of information technology and increasingly prominent environmental problems, building comfort and energy management become the major tasks for an intelligent residential building system. According to statistical studies, people spend 80% of their lives in buildings. Hence i...

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Bibliographic Details
Published inSwarm Intelligence Based Optimization pp. 42 - 49
Main Authors Zhu, Jiawei, Lauri, Fabrice, Koukam, Abderrafiaa, Hilaire, Vincent
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 01.01.2014
SeriesLecture Notes in Computer Science
Subjects
Artificial immune system
Energy
Fuzzy system
Optimization
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ISBN3319129694
9783319129693
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-12970-9_5

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Summary:With the fast development of information technology and increasingly prominent environmental problems, building comfort and energy management become the major tasks for an intelligent residential building system. According to statistical studies, people spend 80% of their lives in buildings. Hence it is not surprising that they constantly seek to improve comfort in their living spaces. This paper presents a fuzzy logic controller optimized by an artificial immune system algorithm aimed at maintaining the thermal comfort while reducing energy consumption. The experimental results show the advantages of our system compared with the widely used baseline: On/Off control approach.
ISBN:3319129694
9783319129693
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-12970-9_5