A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

Subodh Paudel (1, 2) , Mohamed Elmitri (3) , Stéphane Couturier (4) , Phuong Nguyen (5) , René Kamphuis (6) , Bruno Lacarrière (1, 2) , Olivier Le Corre

1 GEPEA-OSE - Optimisation - Système - Energie
2 IMT Atlantique - DSEE - Département Systèmes Energétiques et Environnement
3 VeRI - Veolia Recherche & Innovation
4 CESBIO - Centre d'études spatiales de la biosphère
5 NICTA - National ICT Australia [Sydney]
6 Energy Research Center of the Netherlands ECN

Domaines: Thermique [physics.class-ph]

Subodh Paudel, Mohamed Elmitri, Stéphane Couturier, Phuong Nguyen, René Kamphuis, et al.. A relevant data selection method for energy consumption prediction of low energy building based on support vector machine. Energy and Buildings, 2017, 138, pp.240-256. ⟨10.1016/j.enbuild.2016.11.009⟩. ⟨hal-01962115⟩