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 Access content directly
Conference Papers Year : 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
Base de Données
CV
Yann Gripay
Base de Données
CV
Jean-Michel Deleuil
Jacques Jay
Centre de Thermique de Lyon
Olivier Cavadenti
Data Mining and Machine Learning
Radouane Mebrouk
  • Function : Author
Laboratoire d'Instrumentation, de Relation Individu Système

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Computer Science [cs]

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https://hal.science/hal-01499281

Submitted on : Friday, March 31, 2017-10:40:47 AM

Last modification on : Wednesday, September 4, 2024-5:34:07 PM

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

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  • HAL Id : hal-01499281 , version 1

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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⟩

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