Smart Home - From User's Behavior to Prediction of Energy Consumption
نویسندگان
چکیده
This paper concerns a home automation system of energy management. Such a system aims at keeping under control the energy consumption in housing. The expected energy consumption is scheduled over one day. Each hour a total amount of energy is available that is a resource constraint for the expected energy plan. The expected consumption is totally derived from users behavior which are quite different from one housing to another, and rather difficult to predict. This paper proposes a Learning System to predict the user’s requests of energy. The proposed method relies on Bayesian networks.
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