Comfort as a multidimensional preference model for energy efficiency control issues
Résumé
The incessant need for energy has raised its cost to unexpected heights. In response to this situation, many projects have been started in order to save energy. In this context, RIDER project tries to develop a weak system de-pendency of energy management framework which could be applied for different systems. Particularly, our RIDER Decision Support System (DSS) focuses on proposing generic control rules and optimization techniques for energy man-agement systems. Therefore, the DSS aims to compute the most relevant target values (i.e., setpoints) to be provided to the energy control system and then, im-proving thermal comfort sensation or reducing energy costs. Literature proposes reusable system independent statistical models for thermal comfort. However, they are not easily interpretable in terms of a preference model which makes control not intuitive and tractable. Since thermal comfort is a subjective multi-dimensional concept, an interpretable and reusable preference model is introduced in this paper. Multi Attribute Utility Theory (MAUT) is used for this.
Domaines
Base de données [cs.DB]
Origine : Fichiers produits par l'(les) auteur(s)