, Chiffres-cles sur la consommation énergétique dans les bâtiments, 2013.

C. Ademe and . Climat, air et energie, 2014.

H. Lund, B. Möller, B. V. Mathiesen, and A. Dyrelund, The role of district heating in future renewable energy systems, Energy, vol.35, pp.1381-1390, 2010.

M. Münster, P. E. Morthorst, H. V. Larsen, L. Bregnbaek, J. Werling et al., The role of district heating in the future Danish energy system, Energy, vol.48, pp.47-55, 2012.

H. Lund, S. Werner, R. Wiltshire, S. Svendsen, J. E. Thorsen et al., , pp.1-11, 2014.

S. Werner, District heating and cooling in Sweden, Energy, vol.126, pp.419-429, 2017.

H. Lund, N. Duic, P. A. Østergaard, and B. V. Mathiesen, Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating, Energy, vol.165, pp.614-619, 2018.

S. Fazlollahi, N. Schüler, and F. , A solid thermal storage model for the optimization of buildings operation strategy, Energy, vol.88, pp.209-222, 2015.

E. Guelpa, G. Barbero, A. Sciacovelli, and V. Verda, Peak-shaving in district heating systems through optimal management of the thermal request of buildings, Energy, 2017.

D. F. Dominkovi?, P. Gianniou, M. Münster, A. Heller, and C. Rode, Utilizing thermal building mass for storage in district heating systems: Combined building level simulations and system level optimization, Energy, vol.153, pp.949-966, 2018.

P. Moro?an, R. Bourdais, D. Dumur, and J. Buisson, Building temperature regulation using a distributed model predictive control, Energy Build, vol.42, pp.1445-1452, 2010.

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 Build, vol.45, pp.15-27, 2012.

M. Y. Lamoudi, Distributed model predictive control for energy management in building, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00875593

D. Sturzenegger, D. Gyalistras, M. Morari, and R. S. Smith, Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost-Benefit Analysis, IEEE Trans. Control Syst. Technol, vol.24, pp.1-12, 2016.

R. De-coninck and L. Helsen, Practical implementation and evaluation of model predictive control for an office building in Brussels, Energy Build, vol.111, pp.290-298, 2016.

S. Prívara, J. ?iroký, L. Ferkl, and J. Cigler, Model predictive control of a building heating system: The first experience, Energy Build, vol.43, pp.564-572, 2011.

F. Verrilli, S. Srinivasan, G. Gambino, M. Canelli, M. Himanka et al., Model Predictive Control-based optimal operations of district heating system with thermal energy storage and flexible loads, 2016.

M. Killian and M. Kozek, Ten questions concerning model predictive control for energy efficient buildings, Build. Environ, vol.105, pp.403-412, 2016.

S. Prívara, J. Cigler, Z. Vá?a, F. Oldewurtel, C. Sagerschnig et al., Building modeling as a crucial part for building predictive control, Energy Build, vol.56, pp.8-22, 2013.

A. Foucquier, S. Robert, F. Suard, L. Stéphan, and A. Jay, State of the art in building modelling and energy performances prediction: A review, Renew. Sustain. Energy Rev, vol.23, pp.272-288, 2013.
URL : https://hal.archives-ouvertes.fr/cea-01792021

S. Prívara, Z. Vá?a, E. ?á?eková, and J. Cigler, Building modeling: Selection of the most appropriate model for predictive control, Energy Build, vol.55, pp.341-350, 2012.

M. Wetter, W. Zuo, and T. S. Nouidui, Modeling of heat transfer in rooms in the modelica "buildings" library, Proc. Build. Simul. 2011 12th Conf, pp.1096-1103, 2011.

J. L. Dréau and P. Heiselberg, Energy flexibility of residential buildings using short term heat storage in the thermal mass, Energy, vol.111, pp.991-1002, 2016.

H. Wolisz, T. M. Kull, R. Streblow, and D. Müller, The effect of furniture and floor covering upon dynamic thermal building simulations, pp.2154-2159, 2015.

K. A. Antonopoulos and E. P. Koronaki, Effect of indoor mass on the time constant and thermal delay of buildings, Int. J. Energy Res, vol.24, pp.391-402, 2000.

H. Johra and P. Heiselberg, Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review, Renew. Sustain. Energy Rev, vol.69, pp.19-32, 2017.

N. Aoun, R. Bavière, M. Vallée, A. Brun, and G. Sandou, Dynamic simulation of residential buildings supporting the development of flexible control in district heating systems, Int. Model. Conf, p.13, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02068479

. City-zen, City-zen Project, 2018.

J. Vivian, A. Zarrella, G. Emmi, and M. D. Carli, An evaluation of the suitability of lumpedcapacitance models in calculating energy needs and thermal behaviour of buildings, Energy Build, vol.150, pp.447-465, 2017.

T. Berthou, P. Stabat, R. Salvazet, and D. Marchio, Development and validation of a gray box model to predict thermal behavior of occupied office buildings, Energy Build, vol.74, pp.91-100, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01299414

H. Harb, N. Boyanov, L. Hernandez, R. Streblow, and D. Müller, Development and validation of greybox models for forecasting the thermal response of occupied buildings, Energy Build, vol.117, pp.199-207, 2016.

P. Bacher and H. Madsen, Identifying suitable models for the heat dynamics of buildings, Energy Build, vol.43, pp.1511-1522, 2011.

M. Wetter, Generic Optimization Program, User Manual, Version 3.1.1, GenOpt (R), 2016.

N. Aoun, R. Bavière, M. Vallée, and G. Sandou, Development and assessment of a reduced-order building model designed for model predictive control of space-heating demand in district heating systems, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02861004

L. Giraud, M. Merabet, R. Baviere, and M. Vallée, Optimal control of district heating systems using dynamic simulation and mixed integer linear programming, Proc. 12th Int. Model. Conf. Prague Czech Repub, pp.141-150, 2017.

Q. Wu, H. Ren, W. Gao, and J. Ren, Multi-objective optimization of a distributed energy network integrated with heating interchange, Energy, vol.109, pp.353-364, 2016.

M. Le?ko, W. Bujalski, and K. Futyma, Operational optimization in district heating systems with the use of thermal energy storage, Energy, vol.165, pp.902-915, 2018.

S. Fazlollahi, N. Schüler, and F. , A solid thermal storage model for the optimization of buildings operation strategy, Energy, vol.88, pp.209-222, 2015.

M. J. Risbeck, C. T. Maravelias, J. B. Rawlings, and R. D. Turney, A mixed-integer linear programming model for real-time cost optimization of building heating, ventilation, and air conditioning equipment, Energy Build, vol.142, pp.220-235, 2017.

V. Kumtepeli, Y. Zhao, M. Naumann, A. Tripathi, Y. Wang et al., Design and analysis of an aging-aware energy management system for islanded grids using mixed-integer quadratic programming, Int. J. Energy Res, 2019.

M. Killian, M. Zauner, and M. Kozek, Comprehensive smart home energy management system using mixed-integer quadratic-programming, Appl. Energy, vol.222, pp.662-672, 2018.

P. Vögelin, B. Koch, G. Georges, and K. Boulouchos, Heuristic approach for the economic optimisation of combined heat and power (CHP) plants: Operating strategy, heat storage and power, Energy, vol.121, pp.66-77, 2017.

M. Vallée, R. Bavière, V. Seguin, V. Vuillerme, N. Lamaison et al., An efficient co-simulation and control approach to tackle complex multi-domain energetic systems: concepts and applications of the PEGASE tool, 2019.

. Fmi-interface and . Httpsfmi-stand, , 2019.

G. P. Mccormick, Computability of global solutions to factorable nonconvex programs: Part I-Convex underestimating problems, Math. Program, vol.10, pp.147-175, 1976.