AN OCCUPANT BEHAVIOR MODEL BASED ON ARTIFICIAL INTELLIGENCE FOR ENERGY BUILDING SIMULATION

Abstract : Occupants have influence on buildings performances due to their presence and their behavior towards indoor environmental conditions controls. However, most building energy models consider occupants in an oversimplified way. Many experiences feedbacks have shown that this assessment leads to huge differences between simulation results and actual energy consumption. In this paper we propose a new method aiming at reducing this uncertainty. It embeds mainly two models: a two-node thermophysiological model that calculates thermal sensation of a human being and an occupant behavior model based on artificial intelligence. Results of this new method are then presented and compared with actual data from field studies.
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Mathieu Bonte, Alexandre Perles, Bérangère Lartigues, Françoise Thellier. AN OCCUPANT BEHAVIOR MODEL BASED ON ARTIFICIAL INTELLIGENCE FOR ENERGY BUILDING SIMULATION. IBPSA, 2013, Chambéry, France. ⟨hal-02175501⟩

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