Abstract
In the past decades, the amount of electricity used by appliances has grown dramatically. As we are demanding more electricity, we should lower the damage to our environment by using energy efficiently. Conservation of energy by looking at one’s habits and notifying them to turn off unnecessary appliances can help out a lot. This research develop a framework, which is able to recognize the operating state of every electrical appliance in a house and figure current user activity. By analyzing the behavior of using appliances, the correlation between activity and appliance can help to detect the nonessential appliance, which is the appliance does not participate in any user activity. The real user experimental results show 96.43% in recognizing the operating state of appliances and 72.66% in detecting nonessential appliances.
This work was partially supported by grants from the National Science Council, Taiwan (NSC 96-2628-E-002-173-MY3, NSC 99-2221-E-002-139-MY3, and NSC 099-2811-E-002-020).
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Lee, Sc., Lin, Gy., Jih, Wr., Huang, CC., Hsu, J.Yj. (2012). Energy-Aware Agents for Detecting Nonessential Appliances. In: Desai, N., Liu, A., Winikoff, M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science(), vol 7057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25920-3_34
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DOI: https://doi.org/10.1007/978-3-642-25920-3_34
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