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The IMPReSS project is a 30-months EU-Brazil cooperative research project started in 2013.

The project is partly funded by the European Commission under the 7th Framework Programme in the area of EU-Brazil Research and Development cooperation under Grant Agreement no. 614100

The Brazilian funding is provided by CNPq Conselho Nacional de Desenvolvimento Científico e Tecnológico

 

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Downloads: User activity recognition for energy saving in smart home environment
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Downloads Home > Scientific Papers > User activity recognition for energy saving in smart home environment

User activity recognition for energy saving in smart home environment


In recent years, the consumption of electricity has increased considerably in the industrial, commercial and residential sectors. This has prompted a branch of research which attempts to overcome this problem by applying different information and communication technologies, turning houses and buildings into smart environments. In this paper, we propose and design an energy saving technique based on the relationship between the user's activities and electrical appliances in smart home environments. The proposed method utilizes machine learning techniques to automatically recognize the user's activities, and then a ranking algorithm is applied to relate activities and existing home appliances. Finally, the system gives recommendations to the user whenever it detects a waste of energy. Tests on a real database show that the proposed method can to save up to 35% of electricity in a smart home.
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March 29 2016 10:57:05
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