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Reducing Energy Consumption and Increasing Comfort of Users in Intelligent Buildings by Employing Learning Automata


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DOI: https://doi.org/10.15866/iree.v14i2.15996

Abstract


Nowadays, the role of advanced communication and computer technologies in designing intelligent buildings for reducing energy costs is obvious. Smart houses utilize integrated systems connecting air conditio, lighting, cooling, and heating in order to provide a dynamic and favorable environment for residents. The main factor to take into account in designing intelligent buildings is to provide the desired comfort for residents and to reduce energy consumption. This work emphasizes energy usage aspect of smart houses. A learning method, based on learning automata for controlling intelligent control systems proportionate to users’ behavior is introduced. A series of learning automata is used in each room in order to investigate traffic patterns and to learn users’ habit of using lighting, air conditioner etc. After identifying the behavior of the user through learning automata, these systems will activate/deactivate automatically. The efficiency of the proposed method is evaluated through sample practical environment for a user in a room for 20 weeks. Results of experiments show that the proposed method is able to learn the behavior of the user after several days, and activates/deactivates the existing systems in the room accordingly.
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Keywords


Intelligent Buildings; Learning Automate; Energy Consumption; Comfort Level

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References


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