Smart Home System for Energy Saving using Genetic- Fuzzy-Neural Networks Approach
2016 ◽
Vol 08
(1)
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Keyword(s):
Home energy saving is very important to realize sustainable improvement. This can be achieved by designing a smart home system that provides a productive and cost-effective environment through optimization of different factors that will be explained in this paper. In this paper, an adaptive smart home system for optimal utilization of power will be designed. The system is based on genetic-fuzzy-neural networks technique, which can capture a human behavior patterns and use it to predict the user's mood. This technique will improve the intelligence of the smart home control to minimize the power losses.
2007 ◽
Vol 3
(1)
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pp. 1-10
Keyword(s):
2013 ◽
Vol 33
(9)
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pp. 2566-2569
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Keyword(s):
2004 ◽
Vol 12
(3)
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pp. 411-420
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Keyword(s):
2015 ◽
Vol 23
(5)
◽
pp. 1414-1427
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Keyword(s):