SMART HOME - From User's Behavior to Prediction of Energy Consumption | Zendy

Lamis Hawarah | Zendy; Mirieille Jacomino | Zendy; Stéphane Ploix | Zendy

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SMART HOME - From User's Behavior to Prediction of Energy Consumption

Author(s) -

Lamis Hawarah,

Mirieille Jacomino,

Stéphane Ploix

Publication year - 2010

Publication title -

proceedings of the 15th international conference on informatics in control, automation and robotics

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5220/0002947901470153

Subject(s) - energy consumption , computer science , consumption (sociology) , home automation , human–computer interaction , telecommunications , engineering , electrical engineering , social science , sociology

This paper concerns a home automation system of energy manag ement. Such a system aims at keeping under control the energy consumption in housing. The expected ene rgy consumption is scheduled over one day. Each hour a total amount of energy is available that is a resou ce constraint for the expected energy plan. The expected consumption is totally derived from users behavio r which are quite different from one housing to another, and rather difficult to predict. This paper propose s aLearning Systemto predict the user’s requests of energy. The proposed method relies on Bayesian networks.

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