M. Avci, M. Erkoc, A. Rahmani, and S. Asfour, Model predictive HVAC load control in buildings using real-time electricity pricing, Energy and Buildings, vol.60, pp.199-209, 2013.
DOI : 10.1016/j.enbuild.2013.01.008

K. Yun, R. Luck, P. J. Mago, and H. Cho, Building hourly thermal load prediction using an indexed ARX model, Energy and Buildings, vol.54, pp.225-233, 2012.
DOI : 10.1016/j.enbuild.2012.08.007

H. Madsen and J. Holst, Estimation of continuous-time models for the heat dynamics of a building, Energy and Buildings, vol.22, issue.1, pp.67-79, 1995.
DOI : 10.1016/0378-7788(94)00904-X

K. K. Andersen, H. Madsen, and L. H. Hansen, Modelling the heat dynamics of a building using stochastic differential equations, Energy and Buildings, vol.31, issue.1, pp.13-24, 2000.
DOI : 10.1016/S0378-7788(98)00069-3

X. Xu and S. Wang, A simplified dynamic model for existing buildings using CTF and thermal network models, International Journal of Thermal Sciences, vol.47, issue.9, pp.1249-1262, 2008.
DOI : 10.1016/j.ijthermalsci.2007.10.011

J. Purdy and I. Beausoleil-morrison, The significant factors in modellling residential buildings, Seventh International IBPSA Conference, 2001.

F. Oldewurtel, D. Sturzenegger, and M. Morari, Importance of occupancy information for building climate control, Applied Energy, vol.101, pp.521-532, 2013.
DOI : 10.1016/j.apenergy.2012.06.014

Y. G. Yohanis, J. D. Mondol, A. Wright, and B. Norton, Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use, Energy and Buildings, vol.40, issue.6, pp.1053-1059, 2008.
DOI : 10.1016/j.enbuild.2007.09.001

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

R. Kramer, L. V. Schijndel, and H. Schellen, Simplified thermal and hygric building models: A literature review, Frontiers of Architectural Research, vol.1, issue.4, pp.318-325, 2012.
DOI : 10.1016/j.foar.2012.09.001

G. Fraisse, C. Viardot, O. Lafabrie, and G. Achard, Development of a simplified and accurate building model based on electrical analogy, Energy and Buildings, vol.34, issue.10, pp.1017-1031, 2002.
DOI : 10.1016/S0378-7788(02)00019-1

T. R. Nielsen, Simple tool to evaluate energy demand and indoor environment in the early stages of building design, Solar Energy, vol.78, issue.1, pp.73-83, 2005.
DOI : 10.1016/j.solener.2004.06.016

J. H. Kampf and D. Robinson, A simplified thermal model to support analysis of urban resource flows, Energy and Buildings, vol.39, issue.4, pp.445-453, 2007.
DOI : 10.1016/j.enbuild.2006.09.002

A. I. Dounis, P. Tiropanis, A. Argiriou, and A. Diamantis, Intelligent control system for reconciliation of the energy savings with comfort in buildings using soft computing techniques, Energy and Buildings, vol.43, issue.1, pp.66-74, 2011.
DOI : 10.1016/j.enbuild.2010.08.014

H. Zhang, A. Davigny, F. Colas, Y. Poste, and B. Robyns, Fuzzy logic based energy management strategy for commercial buildings integrating photovoltaic and storage systems, Energy and Buildings, vol.54, pp.196-206, 2012.
DOI : 10.1016/j.enbuild.2012.07.022

S. Soyguder, M. Karakose, and H. Alli, Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system, Expert Systems with Applications, vol.36, issue.3, pp.4566-4573, 2009.
DOI : 10.1016/j.eswa.2008.05.031

B. Paris, J. Eynard, and S. Grieu, Hybrid PID-fuzzy control scheme for managing energy resources in buildings, Applied Soft Computing, vol.11, issue.8, pp.5068-5080, 2011.
DOI : 10.1016/j.asoc.2011.05.052
URL : https://hal.archives-ouvertes.fr/hal-00628879

M. Pipattanasomporn, M. Kuzlu, and S. Rahman, An Algorithm for Intelligent Home Energy Management and Demand Response Analysis, IEEE Transaction on Smart Grid, 2012.
DOI : 10.1109/TSG.2012.2201182

F. Oldewurtel, A. Parisio, C. N. Jones, D. Gyalistras, M. Gwerder et al., Use of model predictive control and weather forecasts for energy efficient building climate control, Energy and Buildings, vol.45, pp.15-27, 2012.
DOI : 10.1016/j.enbuild.2011.09.022

L. M. Costa and G. Kariniotakis, A Stochastic Dynamic Programming Model for Optimal Use of Local Energy Resources in a Market Environment, 2007 IEEE Lausanne Power Tech, pp.449-454, 2007.
DOI : 10.1109/PCT.2007.4538359
URL : https://hal.archives-ouvertes.fr/hal-00525890

Y. Ma and F. Borrelli, Fast stochastic predictive control for building temperature regulation, 2012 American Control Conference, 2012.

A. A. Argiriou, I. Bellas-velidis, and C. A. Balaras, Development of a neural network heating controller for solar buildings, Neural Networks, vol.13, issue.7, pp.811-820, 2000.
DOI : 10.1016/S0893-6080(00)00057-5

A. A. Argiriou, I. Bellas-velidis, M. Kummert, and P. André, A neural network controller for hydronic heating systems of solar buildings, Neural Networks, vol.17, issue.3, pp.427-440, 2004.
DOI : 10.1016/j.neunet.2003.07.001

X. Guan, Z. Xua, and Q. Jia, Energy-Efficient Buildings Facilitated by Microgrid, IEEE Transactions on Smart Grid, vol.1, issue.3, pp.243-252, 2010.
DOI : 10.1109/TSG.2010.2083705

D. L. Ha, S. Ploix, M. Jacomino, and M. H. Le, Control of energy consumption in home automation by ressource constraint scheduling, 15 International Conference on Control Systems and Computer Science, 2005.

S. Abras, Systèmes Domotiques Multi-agents pour la gestion de l'´ energie dans l'habitat, Mathématiques, Sciences et Technologies de l'Information, Informatique (MSTII) -Grenoble INP, 2009.

G. and D. Oliveira, Approche hybride d'optimisation pour la gestion d'´ energie dans le bâtiment, 2013.

M. Y. Lamoudi, M. Alamir, and P. Béguery, Unified NMPC for multivariable control in smart building, 18th IFAC World Congress Milano (Italy), 2011.

J. Eynard, S. Grieu, and M. Polit, Predictive control and thermal energy storage for optimizing a multi-energy district boiler, Journal of Process Control, vol.22, issue.7, pp.1246-1255, 2012.
DOI : 10.1016/j.jprocont.2012.05.011
URL : https://hal.archives-ouvertes.fr/hal-00721557

R. Yang and L. Wang, Multi-zone building energy management using intelligent control and optimization. Sustainable cities and society, pp.16-21, 2013.

W. Huang and H. N. Lam, Using genetic algorithms to optimize controller parameters for HVAC systems, Energy and Buildings, vol.26, issue.3, pp.277-282, 1997.
DOI : 10.1016/S0378-7788(97)00008-X

S. H. Kim, Building demand-side control using thermal energy storage under uncertainty: An adaptive Multiple Model-based Predictive Control (MMPC) approach, Building and Environment, vol.67, pp.111-128, 2013.
DOI : 10.1016/j.buildenv.2013.05.005

I. Hazyuk, C. Ghiau, and D. Penhouet, Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part II ??? Control algorithm, Building and Environment, vol.51, pp.388-394, 2012.
DOI : 10.1016/j.buildenv.2011.11.008
URL : https://hal.archives-ouvertes.fr/hal-00732246

J. Ma, J. Qin, T. Salsbury, and P. Xu, Demand reduction in building energy systems based on economic model predictive control, Chemical Engineering Science, vol.67, issue.1, pp.92-10092, 2012.
DOI : 10.1016/j.ces.2011.07.052

H. Sane and M. Guay, Minmax dynamic optimization over a finite-time horizon for building demand control, 2008 American Control Conference, 2008.
DOI : 10.1109/ACC.2008.4586699

G. J. Pappas, T. Nghiem, M. Behl, and R. Mangharam, Green scheduling: Scheduling of the control systems for peak power reduction, Green conputing conference and workshops (IGCC), 2011.

Y. Zong, D. Kullmann, A. Thavlov, O. Gehrke, and W. Bindner, Active load managment in an intelligent building using model predictive control strategy, PowerThech, 2011 IEEE Conference Trondheim, 2011.

V. M. Zavala, J. Wang, and S. Leyffer, Proactive energy management for next-generation building systems, Fourth National Conference of IBPSA-USA, 2010.

C. Clastres, T. T. Ha-pham, F. Wurtz, and S. Bacha, Ancillary services and optimal household energy management with photovoltaic production???, Energy, vol.35, issue.1, pp.55-64, 2010.
DOI : 10.1016/j.energy.2009.08.025

V. R. Dehkordi, J. A. Candanedo, and M. Stylianou, Variable horizon MPC of a building system with thermal energy storage, Journal of Process Control, 2013.

G. Droge and M. Egertedt, Adaptive time horizon optimization in model predictive control, Proceedings of the 2011 American Control Conference, 2011.
DOI : 10.1109/ACC.2011.5990855

R. Scattolini, Architectures for distributed and hierarchical Model Predictive Control ??? A review, Journal of Process Control, vol.19, issue.5, pp.723-731, 2009.
DOI : 10.1016/j.jprocont.2009.02.003

A. Tica, H. Gueguen, D. Dumur, D. Faille, and F. A. Davelaar, Hierarchical Model Predictive Control Approach for Start-up Optimization of a Combined Cycle Power Plant, Proceedings of the 8th IFAC Power Plant and Power Systems Control Symposium, 2012.
DOI : 10.3182/20120902-4-FR-2032.00054
URL : https://hal.archives-ouvertes.fr/hal-00733266

M. H. Ramezani and N. Sadati, Hierarchical optimal control of large-scale nonlinear chemical processes, ISA Transactions, vol.48, issue.1, pp.38-47, 2009.
DOI : 10.1016/j.isatra.2008.08.003

C. Hou, X. Hu, and D. Hui, Hierarchical control techniques applied in micro-grid, International Conference on Power System Technology, 2010.

F. Kennel, D. Gorges, and S. Liu, Energy Management for Smart Grids With Electric Vehicles Based on Hierarchical MPC, IEEE Transaction on Industrial Informatics, 2012.
DOI : 10.1109/TII.2012.2228876

B. Picasso, D. De-vito, R. Scattolini, and P. Colaneri, An MPC approach to the design of two-layer hierarchical control systems, Automatica, vol.46, issue.5, pp.823-831, 2010.
DOI : 10.1016/j.automatica.2010.02.013

L. Magni and R. Scatolini, Stabilizing decentralized model predictive control of nonlinear systems, Automatica, vol.42, issue.7, pp.1231-1236, 2006.
DOI : 10.1016/j.automatica.2006.02.010

R. M. Hermans, M. Lazar, and A. Joki´cjoki´c, Almost decentralized lyapunov-based nonlinear model predictive control, Proceedings of the 2010 American Control Conference, 2010.
DOI : 10.1109/ACC.2010.5530649

D. L. Ha, S. Ploix, M. Jacomino, and M. H. Le, An optimal approach for electrical management problem in dwellings, Energy and Buildings, vol.45, pp.1-14, 2012.
DOI : 10.1016/j.enbuild.2011.11.027

A. Vahidi and W. Greenwell, A Decentralized Model Predictive Control Approach to Power Management of a Fuel Cell-Ultracapacitor Hybrid, 2007 American Control Conference, 2007.
DOI : 10.1109/ACC.2007.4282904

E. Camponogara, D. Jia, B. H. Krogh, and S. Talukbar, Distributed model predictive control, IEEE Control Systems, vol.22, pp.44-52, 2002.

J. B. Rawlings and B. T. Stewart, Coordinating multiple optimization-based controllers: New opportunities and challenges, Journal of Process Control, vol.18, issue.9, pp.839-845, 2008.
DOI : 10.1016/j.jprocont.2008.06.005

D. Moro¸sanmoro¸san, R. Bourdais, D. Dumur, and J. Buisson, Distributed model predictive control for building temperature regulation, ACC, 2010.

K. Edlund, J. D. Dendtsen, and J. B. Jorgensen, Hierarchical model-based predictive control of a power plant portfolio, Control Engineering Practice, vol.19, issue.10, pp.1126-1136, 2011.
DOI : 10.1016/j.conengprac.2011.06.002

L. S. Lasdon, Duality and Decomposition in Mathematical Programming, IEEE Transactions on Systems Science and Cybernetics, vol.4, issue.2, pp.86-100, 1968.
DOI : 10.1109/TSSC.1968.300135

D. Moro¸sanmoro¸san, Commande prédictive deistribuée, Approches appliquéesappliquées`appliquéesà la régulation thermique des bâtiments, 2011.

A. Lefort, R. Bourdais, G. Ansanay-alex, and H. Guéguen, Hierarchical control method applied to energy management of a residential house, Energy and Buildings, vol.64, pp.53-61, 2013.
DOI : 10.1016/j.enbuild.2013.04.010
URL : https://hal.archives-ouvertes.fr/hal-00844335

G. B. Dantzig and P. Wolfe, Decomposition Principle for Linear Programs, Operations Research, vol.8, issue.1, pp.101-112, 1960.
DOI : 10.1287/opre.8.1.101

L. E. Sokoler, Convex optimization Algorithms for Power Plant Operation, 2009.

K. Edlund, Dynamic Load Balancing of a Power System Portfolio, 2010.

A. Lefort, R. Bourdais, H. Guéguen, G. A. Ansanay-alex, H. Lefort et al., Planification de la consommationénergétiqueconsommationénergétique d'un bâtiment par une méthode d'optimisation linéaire distribuée A building energy management system based on distributed model predictive control, Conférence Internationale Francophone d'Automatique CISBAT International Conference Lausanne, pp.4-6, 2012.

R. Cheng, J. F. Forbes, and W. S. Yip, Dantzig???Wolfe decomposition and plant-wide MPC coordination, Computers & Chemical Engineering, vol.32, issue.7, pp.1507-1522, 2008.
DOI : 10.1016/j.compchemeng.2007.07.003

S. Building, Technical report, CSTB, 84 avenue Jean Jaurès -Champs-sur-Marne-B.P. 2 - F-77421

M. E. Baster, Modelling the performance of air source heat pump systems, 2011.

M. S. Hossain, R. Saidur, and H. Fayaz, Review on solar water heater collector and thermal energy performance of circulating pipe. Renewable and Sustainable Energy Rewiews, pp.3801-3812, 2011.

A. Chabaudand, J. Eynard, and S. Grieu, Gestion multicritère des resourcesénergétiquesàresourcesénergétiquesresourcesénergétiquesà l'´ echelle d'un habitat individuel: interaction bâtiment / réseaú electrique, JD-MACS, 2013.