Data Science approach for a cross-disciplinary understanding of urban phenomena : Application to energy efficiency of buildings based on physical measures and user behaviours - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Data Science approach for a cross-disciplinary understanding of urban phenomena : Application to energy efficiency of buildings based on physical measures and user behaviours

Sylvie Servigne
Yann Gripay
Jean-Michel Deleuil
  • Fonction : Auteur
Jacques Jay
Olivier Cavadenti

Résumé

.
Fichier non déposé

Dates et versions

hal-01499281 , version 1 (31-03-2017)

Identifiants

  • HAL Id : hal-01499281 , version 1

Citer

Sylvie Servigne, Yann Gripay, Jean-Michel Deleuil, Jacques Jay, Olivier Cavadenti, et al.. Data Science approach for a cross-disciplinary understanding of urban phenomena : Application to energy efficiency of buildings based on physical measures and user behaviours. Urban Modelling Symposium : Towards Integrated Modelling of Urban Systems, Oct 2014, Lyon - 15-17 octobre 2014, France. pp.1-6. ⟨hal-01499281⟩
325 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More