J. Hensen, Preparation Guide and Submission Instruction for Building Simulation, 2003.

S. Cho and J. S. Haberl, Validation of the eCalc Commercial Codecompliant Simulation Versus Measured Data from an Office Building in a Hot and Humid Climate, 2008.

D. A. Coley and J. M. Penman, Simplified thermal response modelling in building energy management. Paper III: Demonstration of a working controller, Building and Environment, vol.31, issue.2, 1996.
DOI : 10.1016/0360-1323(95)00043-7

I. Committee, International Performance Measurement and Verification Protocol: Concepts and Options for Determining Energy and Water Savings, 2001.

F. Déqué, F. Ollivier, and A. Poblador, Grey Boxes Used to Represent Buildings with a Minimum Number of Geometric and Thermal Parameters. Energy and Buildings Federal Energy Management Program, M&V Guidelines: Measurement and Verifi Cation for Federal Energy Projects, 1998.

N. Fumo, P. Mago, and R. Luck, Methodology to estimate building energy consumption using EnergyPlus Benchmark Models, Energy and Buildings, vol.42, issue.12, 2010.
DOI : 10.1016/j.enbuild.2010.07.027

G. Guyon, Role of the Model User in Results Obtained from Simulation Software Program, Prague, 1997.

I. Hazyuk, C. Ghiaus, and D. Penhouet, Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part I ??? Building modeling, Building and Environment, vol.51, 2012.
DOI : 10.1016/j.buildenv.2011.11.009

URL : https://hal.archives-ouvertes.fr/hal-00732243

M. Kummert, P. André, and J. Nicolas, Optimal Heating Control in a Passive Solar Commercial Building. Solar Energy Laret, Development of building dynamic multizone model for large-scale simulations, A Working conference for Users of Simulation Hardware, Software and Intelliware, Proceedings of the User 1, 2001.

T. Maile, M. Fischer, and V. Bazjanac, A Method to Compare Measured and Simulated Data to Assess Building Energy PerformanceCIFE Working Paper #WP127, 2010.

A. Pedrini, F. S. Westphal, and R. Lamberts, A methodology for building energy modelling and calibration in warm climates, Building and Environment, vol.37, issue.8-9, 2002.
DOI : 10.1016/S0360-1323(02)00051-3

P. Raftery, M. Keane, and J. Donnell, Calibrating Whole Building Energy Models: An Evidence-based Methodology. Energy and Buildings University of Wisconsin. TrnSys : Transient System Simulation Tool, 2011.

S. Wang and X. Xu, Simplified building model for transient thermal performance estimation using GA-based parameter identification, International Journal of Thermal Sciences, vol.45, issue.4, 2006.
DOI : 10.1016/j.ijthermalsci.2005.06.009