H. Allcott and M. Greenstone, Is There an Energy Efficiency Gap?, Journal of Economic Perspectives, vol.26, issue.1, pp.3-28, 2012.
DOI : 10.1257/jep.26.1.3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.2440

R. E. Bellmann, Dynamic Programming-Code, 1957.

R. Bibas, S. Mathy, and M. Fink, Building a low carbon scenario for france. how a participatory approach can enhance social and economic acceptability, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00797412

R. D. Braddock and S. Y. Schreider, Application of the Morris algorithm for sensitivity analysis of the REALM model for the Goulburn irrigation system, Environmental Modeling & Assessment, vol.78, issue.4, pp.297-313, 2006.
DOI : 10.1007/s10666-005-9029-z

F. Campolongo and R. Braddock, Sensitivity analysis of the IMAGE greenhouse model. Environmental modelling & software, pp.275-282, 1999.

F. Campolongo, J. Cariboni, and A. Saltelli, An effective screening design for sensitivity analysis of large models, Environmental Modelling & Software, vol.22, issue.10, pp.1509-1518, 2007.
DOI : 10.1016/j.envsoft.2006.10.004

F. Campolongo, J. Kleijnen, A. , and T. , Screening methods, Sensitivity Analysis, pp.65-80, 2000.

F. Campolongo, A. Saltelli, C. , and J. , From screening to quantitative sensitivity analysis. A unified approach, Computer Physics Communications, vol.182, issue.4, pp.978-988, 2011.
DOI : 10.1016/j.cpc.2010.12.039

URL : http://publications.jrc.ec.europa.eu/repository/handle/JRC62692

E. Cayre, B. Allibe, M. Laurent, and D. Osso, There are people in the houses! how the results of purely technical analysis of residential energy consumption are misleading for energy policies, Proceedings of the ECEEE 2011 Summer Study, pp.1675-1683, 2011.

D. Charlier and A. Risch, Evaluation of the impact of environmental public policy measures on energy consumption and greenhouse gas emissions in the French residential sector, Energy Policy, vol.46, pp.170-184, 2012.
DOI : 10.1016/j.enpol.2012.03.048

URL : https://hal.archives-ouvertes.fr/hal-01385441

R. Confalonieri, G. Bellocchi, S. Bregaglio, M. Donatelli, and M. Acutis, Comparison of sensitivity analysis techniques: A case study with the rice model WARM, Ecological Modelling, vol.221, issue.16, pp.2211897-1906, 2010.
DOI : 10.1016/j.ecolmodel.2010.04.021

M. Cooling, P. Hunter, C. , and E. J. , Modeling Hypertrophic IP3 Transients in the Cardiac Myocyte, Biophysical Journal, vol.93, issue.10, pp.933421-3433, 2007.
DOI : 10.1529/biophysj.107.110031

S. U. Energy-modeling-forum, Energy efficiency and climate change mitigation, 2011.

G. Sanchez, D. Lacarrière, B. Musy, M. Bourges, and B. , Application of sensitivity analysis in building energy simulations: Combining first- and second-order elementary effects methods, Energy and Buildings, vol.68, pp.741-750, 2014.
DOI : 10.1016/j.enbuild.2012.08.048

URL : https://hal.archives-ouvertes.fr/hal-00947577

K. T. Gillingham, R. G. Newell, P. , and K. , Energy Efficiency Economics and Policy, Annual Review of Resource Economics, vol.1, issue.1, pp.597-620, 2009.
DOI : 10.1146/annurev.resource.102308.124234

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.177.7978

L. Giraudet, C. Guivarch, and P. Quirion, Comparing and Combining Energy Saving Policies: Will Proposed Residential Sector Policies Meet French Official Targets?, The Energy Journal, vol.32, issue.01, p.32, 2011.
DOI : 10.5547/ISSN0195-6574-EJ-Vol32-SI1-12

URL : https://hal.archives-ouvertes.fr/hal-00755824

L. Giraudet, C. Guivarch, and P. Quirion, Exploring the potential for energy conservation in French households through hybrid modeling, Energy Economics, vol.34, issue.2, pp.426-445, 2012.
DOI : 10.1016/j.eneco.2011.07.010

URL : https://hal.archives-ouvertes.fr/hal-00715345

L. Giraudet, C. Guivarch, P. Quirion, and L. Penot-antoniou, Evaluation des mesures du grenelle de l'Environnement sur le parc de logements, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00799740

L. Giraudet and P. Quirion, Efficiency and distributional impacts of tradable white certificates compared to taxes, subsidies and regulations. Revue d'économie politique, pp.885-914, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00784240

J. Hourcade, M. Jaccard, C. Bataille, and F. Ghersi, Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal, The Energy Journal, vol.2006, issue.01, p.2006, 2006.
DOI : 10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI2-1

URL : https://hal.archives-ouvertes.fr/hal-00716778

B. Iooss, Revue sur l'analyse de sensibilité globale de modèles numériques, Journal de la Société Fran\ccaise de Statistique, pp.3-25, 2011.

M. Jaccard and M. Dennis, Estimating home energy decision parameters for a hybrid energy???economy policy model, Environmental Modeling & Assessment, vol.10, issue.12, pp.91-100, 2006.
DOI : 10.1007/s10666-005-9036-0

A. B. Jaffe and R. N. Stavins, The energy-efficiency gap what does it mean? Energy Policy, pp.804-810, 1994.

M. Kavgic, A. Mavrogianni, D. Mumovic, A. Summerfield, Z. Stevanovic et al., A review of bottom-up building stock models for energy consumption in the residential sector, Building and Environment, vol.45, issue.7, pp.451683-1697, 2010.
DOI : 10.1016/j.buildenv.2010.01.021

M. Levine, Ü. Vorsatz, D. Blok, K. Geng, L. Harvey et al., 2007: Residential and commercial buildings, Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007.

J. Marchal, Modélisation des performances thermiques du parc de logements, 2008.

C. J. Matthews, D. B. Newton, R. D. Braddock, Y. , and B. , Analysing the sensitivity behaviour of two hydrology models, Environmental Modeling & Assessment, vol.37, issue.2, pp.27-41, 2006.
DOI : 10.1007/s10666-006-9049-3

P. Mau, J. Eyzaguirre, M. Jaccard, C. Collins-dodd, and K. Tiedemann, The ???neighbor effect???: Simulating dynamics in consumer preferences for new vehicle technologies, Ecological Economics, vol.68, issue.1-2, pp.504-516, 2008.
DOI : 10.1016/j.ecolecon.2008.05.007

M. D. Morris, Factorial Sampling Plans for Preliminary Computational Experiments, Technometrics, vol.1, issue.2, pp.161-174, 1991.
DOI : 10.2307/1266468

L. Mundaca, L. Neij, E. Worrell, and M. Mcneil, Evaluating Energy Efficiency Policies with Energy-Economy Models, Annual Review of Environment and Resources, vol.35, issue.1, pp.305-344, 2010.
DOI : 10.1146/annurev-environ-052810-164840

N. Oreskes, Evaluation (not validation) of quantitative models, Environmental Health Perspectives, vol.106, issue.Suppl 6, pp.1453-1460, 1998.
DOI : 10.1289/ehp.98106s61453

J. Potting, P. Heuberger, A. Beusen, D. Van-vuuren, and B. De-vries, Sensitivity analysis, Uncertainty assessment of the IMAGE/TIMER B1 CO2 emissions scenario, using the NUSAP method. Dutch National Research Programme on Global Air Pollution and Climate Change, 2002.

G. M. Richter, M. Acutis, P. Trevisiol, K. Latiri, C. et al., Sensitivity analysis for a complex crop model applied to Durum wheat in the Mediterranean, European Journal of Agronomy, vol.32, issue.2, pp.127-136, 2010.
DOI : 10.1016/j.eja.2009.09.002

J. Rotmans and M. B. Van-asselt, Uncertainty management in integrated assessment modeling: towards a pluralistic approach, Environmental Monitoring and Assessment, vol.69, issue.2, pp.101-130, 2001.
DOI : 10.1023/A:1010722120729

M. V. Ruano, J. Ribes, A. Seco, and J. Ferrer, An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors, Environmental Modelling & Software, vol.37, 2012.
DOI : 10.1016/j.envsoft.2012.03.008

A. Saltelli and P. Annoni, How to avoid a perfunctory sensitivity analysis. Environmental Modeling and Software, pp.1508-1517, 2010.

A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni et al., Global Sensitivity Analysis: The Primer, 2008.
DOI : 10.1002/9780470725184

I. Sobol, Sensitivity analysis for non linear mathematical models, Mathematical modelling and computational experiment, vol.1, pp.407-414, 1993.

Y. Tang, P. Reed, T. Wagener, and K. V. Werkhoven, Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation, Hydrology and Earth System Sciences, vol.11, issue.2, pp.793-817, 2007.
DOI : 10.5194/hess-11-793-2007

URL : https://hal.archives-ouvertes.fr/hal-00305053

J. T. Wilkerson, D. Cullenward, D. Davidian, and J. P. Weyant, End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors, Energy Economics, vol.40, pp.773-784, 2013.
DOI : 10.1016/j.eneco.2013.09.023