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Elaboration de lois heuristiques à partir de la programmation dynamique : application à l'effacement de la consommation électrique de pointe dans les bâtiments performants

Abstract : In France, 40 % of buildings are heated with electrical devices causing high peak loads in winter. In this context, optimal strategies (under constraints related to comfort and maximum heating power) have been developed with the dynamic programming method to shift electricity consumption used for heating taking advantage of the building thermal mass. However, this exact optimisation method is time-consuming and can hardly be applied to real-time control. Complementary statistical techniques exist that allow for the " extraction " of logistic decision models from the optimal control simulation results. These rule extraction techniques model the relationship between a response variable and explanatory variables. In this study, a generalised linear model was used because it is able to mimic the general characteristics of the dynamic programming results with a small computational expense.
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Maxime Robillart, Patrick Schalbart, Bruno Peuportier. Elaboration de lois heuristiques à partir de la programmation dynamique : application à l'effacement de la consommation électrique de pointe dans les bâtiments performants. Conférence Francophone de l'International Building Performance Simulation Association (IBPSA 2014), May 2014, Arras, France. ⟨hal-01461441⟩

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