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

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Details:
In Proc. of International Conference on Swarm Intelligence Based Optimization, 2014.
Abstract:
With the fast development of information technol- ogy and increasingly prominent environmental problem, 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 to maintain the thermal comfort while reducing energy consumption. The experimental results show the advantages of our system compared with the widely used baseline: Off/On control approach.
Keywords:
Fuzzy Logic, Artificial Immune System, Thermal Comfort
Publication Category:
International conference with proceedings
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