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Vers le développement de modèles prédictifs individualisés du confort thermique pour les logements connectés

Abstract : The rise of connected building is an opportunity to carry out individualized and more precise diagnoses of thermal comfort in various usage situations. Recently, several studies have collected data from connected ambient sensors and feelings of occupants exposed to different ambient conditions. Processing the results by statistical analyzes or with artificial intelligence methods makes it possible to consider developing personalized models to detect discomfort, to evaluate thermal preferences or to predict comfort with the aim of improving energy management buildings. This article proposes a state of the art of the techniques implemented to develop these models of comfort and is particularly interested in their application in the case of housing with collective heating.
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https://hal.archives-ouvertes.fr/hal-03687637
Contributor : Marie-Lise Pannier Connect in order to contact the contributor
Submitted on : Friday, June 3, 2022 - 2:31:12 PM
Last modification on : Tuesday, June 14, 2022 - 9:43:32 AM

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  • HAL Id : hal-03687637, version 1

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Valentin Hoyet, Marie-Lise Pannier, Maxime Robillart, David Rousseau. Vers le développement de modèles prédictifs individualisés du confort thermique pour les logements connectés. Conférence IBPSA France 2022, May 2022, Châlons en Champagne, France. ⟨hal-03687637⟩

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