Abstract
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.
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Zhu, J., Lauri, F., Koukam, A., Hilaire, V. (2014). Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition. In: Siarry, P., Idoumghar, L., Lepagnot, J. (eds) Swarm Intelligence Based Optimization. ICSIBO 2014. Lecture Notes in Computer Science(), vol 8472. Springer, Cham. https://doi.org/10.1007/978-3-319-12970-9_5
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DOI: https://doi.org/10.1007/978-3-319-12970-9_5
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