F. Anstett-collin, J. Goffart, and T. Mara, Sensitivity analysis of complex models: Coping with dynamic and static inputs, Reliability Engineering & System Safety, vol.134, pp.268-275, 2014.
DOI : 10.1016/j.ress.2014.08.010

URL : https://hal.archives-ouvertes.fr/hal-01063795

P. Aude, L. Tabary, and P. Depecker, Sensitivity analysis and validation of buildings' thermal models using adjoint-code method, Energy and Buildings, vol.31, issue.3, pp.267-283, 2000.
DOI : 10.1016/S0378-7788(99)00033-X

M. Burkhart, Y. Heo, and V. Zavala, Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach, Energy and Buildings, vol.75, pp.189-198, 2014.
DOI : 10.1016/j.enbuild.2014.01.048

D. Crawley, L. Lawrie, and F. Winkelmann, EnergyPlus: creating a new-generation building energy simulation program, Energy and Buildings, vol.33, issue.4, pp.319-331, 2001.
DOI : 10.1016/S0378-7788(00)00114-6

D. Wilde, P. Tian, and W. , Management of thermal performance risks in buildings subject to climate change, Building and Environment, vol.55, pp.167-177, 2012.
DOI : 10.1016/j.buildenv.2012.01.018

J. Goffart, M. Rabouille, and N. Mendes, Uncertainty and sensitivity analysis applied to hygrothermal simulation of a brick building in a hot and humid climate Journal of Building Performance Simulation. Epub ahead of print 22, p.10, 1080.

J. Goffart, E. Wurtz, and G. Sauce, Impact and source of uncertainties in high efficiency building simulation: some examples, Proceedings of 12th international IBPSA conference, pp.14-16, 2011.

T. Hong and Y. Jiang, Stochastic weather model for building HVAC systems, Building and Environment, vol.30, issue.4, pp.521-532, 1995.
DOI : 10.1016/0360-1323(95)00007-S

T. Hong, W. Chang, and H. Lin, A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data, Applied Energy, vol.111, pp.333-350, 2013.
DOI : 10.1016/j.apenergy.2013.05.019

R. Iman and W. Conover, A distribution-free approach to inducing rank correlation among input variables, Communications in Statistics - Simulation and Computation, vol.13, issue.4, pp.311-334, 1982.
DOI : 10.1080/00401706.1962.10490011

W. Ko¨ppenko¨ppen, Versuch einer Klassifikation der Klimate, vorzugsweise nach ihren Beziehungen zur Pflanzenwelt, Geographische Zeitschrift, vol.6, pp.593-611, 1900.

S. Kucherenko, S. Tarantola, and P. Annoni, Estimation of global sensitivity indices for models with dependent variables, Computer Physics Communications, vol.183, issue.4, pp.937-946, 2012.
DOI : 10.1016/j.cpc.2011.12.020

C. Mackey, X. Lee, and R. Smith, Remotely sensing the cooling effects of city scale efforts to reduce urban heat island, Building and Environment, vol.49, pp.348-358, 2012.
DOI : 10.1016/j.buildenv.2011.08.004

T. Mara, R. Joseph, and O. , Comparison of some efficient methods to evaluate the main effect of computer model factors, Journal of Statistical Computation and Simulation, vol.1, issue.2, pp.167-178, 2008.
DOI : 10.1016/S0378-7788(00)00127-4

URL : https://hal.archives-ouvertes.fr/hal-01093033

T. Mara and S. Tarantola, Variance-based sensitivity indices for models with dependent inputs, Reliability Engineering & System Safety, vol.107, pp.115-121, 2012.
DOI : 10.1016/j.ress.2011.08.008

URL : https://hal.archives-ouvertes.fr/hal-01093038

G. Pernigotto, A. Prada, and A. Gasparella, Analysis and improvement of the representativeness of EN ISO 15927-4 reference years for building energy simulation, Journal of Building Performance Simulation, vol.108, issue.2, pp.391-410, 2014.
DOI : 10.1016/j.renene.2005.09.013

R. Rabouille, EPLab: sensitivity and uncertainty analysis in building energy modeling GitHub repository, V1.8 Available at: https://github.com/mrabouille/EPLab/releases Roetzel A and Tsangrassoulis A (2012) Impact of climate change on comfort and energy performance in offices, Building and Environment, vol.57, pp.349-361, 2015.

. Sobol-'im, Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, vol.55, issue.1-3, pp.271-280, 2001.
DOI : 10.1016/S0378-4754(00)00270-6

. Sobol-'im and Y. Levitan, On the use of variance reducing multipliers in Monte Carlo computations of a global sensitivity index, Computer Physics Communications, vol.117, issue.1-2, pp.52-61, 1999.
DOI : 10.1016/S0010-4655(98)00156-8

C. Spitz, L. Mora, and E. Wurtz, Practical application of uncertainty analysis and sensitivity analysis on an experimental house, Energy and Buildings, vol.55, pp.459-470, 2012.
DOI : 10.1016/j.enbuild.2012.08.013

W. Tian, A review of sensitivity analysis methods in building energy analysis, Renewable and Sustainable Energy Reviews, vol.20, 2013.
DOI : 10.1016/j.rser.2012.12.014