B. Zhou, W. Li, K. W. Chan, Y. Cao, Y. Kuang et al., Smart home energy management systems: Concept, configurations, and scheduling strategies, Renewable and Sustainable Energy Reviews, vol.61, pp.30-40, 2016.
DOI : 10.1016/j.rser.2016.03.047

K. O. Aduda, T. Labeodan, W. Zeiler, G. Boxem, and Y. Zhao, Demand side flexibility: Potentials and building performance implications, Sustainable Cities and Society, vol.22, pp.146-163, 2016.
DOI : 10.1016/j.scs.2016.02.011

G. Comodi, A. Giantomassi, M. Severini, S. Squartini, F. Ferracuti et al., Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies, Applied Energy, vol.137, pp.854-866, 2015.
DOI : 10.1016/j.apenergy.2014.07.068

X. Li, T. Borsche, and G. Andersson, PV integration in Low-Voltage feeders with Demand Response, IEEE Eindhoven PowerTech, 2015.

N. Good, E. Karangelos, A. Navarro-espinosa, and P. Mancarella, Optimization Under Uncertainty of Thermal Storage-Based Flexible Demand Response With Quantification of Residential Users??? Discomfort, IEEE Transactions on Smart Grid, vol.6, issue.5, pp.2333-2342, 2015.
DOI : 10.1109/TSG.2015.2399974

Z. Xu, X. Guan, Q. Jia, S. Member, J. Wu et al., Performance Analysis and Comparison on Energy Storage Devices for Smart Building, vol.3, issue.4, pp.2136-2147, 2012.

A. Ouammi, Optimal Power Scheduling for a Cooperative Network of, Smart Residential Buildings, vol.7, issue.3, pp.1317-1326, 2016.

N. Holjevac, T. Capuder, N. Zhang, I. Kuzle, and C. Kang, Corrective receding horizon scheduling of flexible distributed multi-energy microgrids, Applied En- ergy

J. R. Birge and F. Louveaux, Introduction to Stochastic Programming, 2011.

D. Bertsimas and M. Sim, Robust discrete optimization and network flows, Mathematical Programming, vol.98, issue.1-3, pp.49-7110, 2003.
DOI : 10.1007/s10107-003-0396-4

D. Bertsimas, E. Litvinov, X. A. Sun, J. Zhao, and T. Zheng, Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem, IEEE Transactions on Power Systems, vol.28, issue.1, pp.52-63, 2013.
DOI : 10.1109/TPWRS.2012.2205021

M. Kazemi, H. Zareipour, N. Amjady, W. D. Rosehart, and M. Ehsan, Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets, IEEE Transactions on Sustainable Energy, vol.8, issue.4, pp.1726-1735, 2017.
DOI : 10.1109/TSTE.2017.2706563

R. A. Jabr, Robust Transmission Network Expansion Planning With Uncertain Renewable Generation and Loads, IEEE Transactions on Power Systems, vol.28, issue.4, pp.4558-4567, 2013.
DOI : 10.1109/TPWRS.2013.2267058

A. A. Thatte, L. Xie, D. E. Viassolo, and S. Singh, Risk Measure Based Robust Bidding Strategy for Arbitrage Using a Wind Farm and Energy Storage, IEEE Transactions on Smart Grid, vol.4, issue.4, pp.2191-2199, 2013.
DOI : 10.1109/TSG.2013.2271283

Z. Hu, M. Zhang, X. Wang, C. Li, and M. Hu, Bi-level robust dynamic economic emission dispatch considering wind power uncertainty, Electric Power Systems Research, vol.135, pp.35-47, 2016.
DOI : 10.1016/j.epsr.2016.03.010

J. Wang, H. Zhong, W. Tang, R. Rajagopal, Q. Xia et al., Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products, Applied Energy, vol.205, pp.294-303, 2017.
DOI : 10.1016/j.apenergy.2017.07.047

G. Liu, Y. Xu, and K. Tomsovic, Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization, IEEE Transactions on Smart Grid, vol.7, issue.1, pp.227-237, 2016.
DOI : 10.1109/TSG.2015.2476669

W. Hu, P. Wang, and H. B. Gooi, Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization, IEEE Transactions on Smart Grid, vol.9, issue.2, pp.1161-1174, 2018.
DOI : 10.1109/TSG.2016.2580575

G. Liu, M. Starke, B. Xiao, and K. Tomsovic, Robust optimisation-based microgrid scheduling with islanding constraints, IET Generation, Transmission & Distribution, vol.11, issue.7, pp.1820-1828, 2017.
DOI : 10.1049/iet-gtd.2016.1699

L. Wang, Q. Li, R. Ding, M. Sun, and G. Wang, Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach, Energy, vol.130, pp.1-14, 2017.
DOI : 10.1016/j.energy.2017.04.115

E. Kuznetsova, Y. Li, C. Ruiz, and E. Zio, An integrated framework of agent-based modelling and robust optimization for microgrid energy management, Applied Energy, vol.129, pp.70-88, 2014.
DOI : 10.1016/j.apenergy.2014.04.024

URL : https://hal.archives-ouvertes.fr/hal-00994200

R. Gupta and N. K. Gupta, A robust optimization based approach for microgrid operation in deregulated environment, Energy Conversion and Management 93, pp.121-131, 2015.

R. Wang, P. Wang, and G. Xiao, A robust optimization approach for energy generation scheduling in microgrids, Energy Conversion and Management, pp.597-607, 2015.

D. Bertsimas and M. Sim, The Price of Robustness, Operations Research, vol.52, issue.1, pp.35-53, 2004.
DOI : 10.1287/opre.1030.0065

J. Wang, P. Li, K. Fang, and Y. Zhou, Robust Optimization for Household Load Scheduling with Uncertain Parameters, Applied Sciences, vol.58, issue.4
DOI : 10.1109/TSG.2011.2140344

M. Ampatzis, P. H. Nguyen, I. G. Kamphuis, and A. Van-zwam, Robust optimisation for deciding on real-time flexibility of storage-integrated photovoltaic units controlled by intelligent software agents, IET Renewable Power Generation, vol.11, issue.12, pp.1527-1533, 2017.
DOI : 10.1049/iet-rpg.2016.0967

M. Diekerhof, F. Peterssen, and A. Monti, Hierarchical Distributed Robust Optimization for Demand Response Services, IEEE Transactions on Smart Grid, pp.1-1, 2017.
DOI : 10.1109/TSG.2017.2701821

Y. Zhou, Z. Wei, G. Sun, K. W. Cheung, H. Zang et al., A robust optimization approach for integrated community energy system in energy and ancillary service markets, Energy, vol.148, pp.1-15, 2018.
DOI : 10.1016/j.energy.2018.01.078

O. Kilkki, I. Seilonen, K. Zenger, and V. Vyatkin, Optimizing residential heating and energy storage flexibility for frequency reserves, International Journal of Electrical Power & Energy Systems, vol.100, pp.540-549, 2018.
DOI : 10.1016/j.ijepes.2018.02.047

O. Mgel, J. L. Mathieu, and G. Andersson, Scheduling distributed energy storage units to provide multiple services, 2014 Power Systems Computation Conference, pp.2014-2015, 2014.
DOI : 10.1109/PSCC.2014.7038358

J. Li, Z. Wu, S. Zhou, H. Fu, and X. P. Zhang, Aggregator service for PV and battery energy storage systems of residential building, CSEE Journal of Power and Energy Systems, vol.1, issue.4, pp.3-11, 2015.
DOI : 10.17775/CSEEJPES.2015.00042

S. Rahnama, J. D. Bendtsen, J. Stoustrup, and H. Rasmussen, Robust Aggregator Design for Industrial Thermal Energy Storages in Smart Grid, IEEE Transactions on Smart Grid, vol.8, issue.2, pp.902-916, 2017.
DOI : 10.1109/TSG.2015.2481822

M. A. Ortega and . Vazquez, Optimal scheduling of electric vehicle charging and vehicle-to-grid services at household level including battery degradation and price uncertainty, IET Generation, Transmission & Distribution, vol.8, issue.6, pp.1007-1016, 2014.
DOI : 10.1049/iet-gtd.2013.0624

G. He, Q. Chen, C. Kang, S. Member, P. Pinson et al., Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life, IEEE Transactions on Smart Grid, vol.7, issue.5, pp.1-9, 2015.
DOI : 10.1109/TSG.2015.2424314

B. Xu, J. Zhao, T. Zheng, E. Litvinov, and D. S. Kirschen, Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets, IEEE Transactions on Power Systems, vol.33, issue.2, pp.2248-2259, 2018.
DOI : 10.1109/TPWRS.2017.2733339

S. Project,

A. Gerossier, R. Girard, G. Kariniotakis, and A. Michiorri, Probabilistic day-ahead forecasting of household electricity demand, CIRED 2017 -24th International Conference on Electricity Distribution, 2017.
DOI : 10.1049/oap-cired.2017.0625

URL : https://hal.archives-ouvertes.fr/hal-01518373

T. Hong and S. Fan, Probabilistic electric load forecasting: A tutorial review, International Journal of Forecasting, vol.32, issue.3, pp.914-938, 2016.
DOI : 10.1016/j.ijforecast.2015.11.011

A. Bocquet, A. Michiorri, A. Bossavy, R. Girard, and G. Kariniotakis, Assessment of probabilistic PV production forecasts performance in an operational context, 6th Solar Integration Workshop -International Workshop on Integration of Solar Power into Power Systems, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01409042

D. Linden and T. B. Reddy, Handbook of batteries, 2002.

D. Dutt, Life cycle analysis and recycling techniques of batteries used in renewable energy applications, 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE)
DOI : 10.1109/SmartMILE.2013.6708187

I. Duggal and B. Venkatesh, Short-Term Scheduling of Thermal Generators and Battery Storage With Depth of Discharge-Based Cost Model, IEEE Transactions on Power Systems, vol.30, issue.4, pp.2110-2118, 2015.
DOI : 10.1109/TPWRS.2014.2352333

M. R. Sarker, H. Pandzic, M. A. Ortega, and . Vazquez, Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station, IEEE Transactions on Power Systems, vol.30, issue.2, pp.901-910, 2015.
DOI : 10.1109/TPWRS.2014.2331560

K. Deb, Multi-objective Optimization using Evolutionary Algorithms, 2001.

C. Marnay, G. Venkataramanan, M. Stadler, A. Siddiqui, R. Firestone et al., Optimal Technology Selection and Operation of Commercial-Building Microgrids -LBNL No. 62315, IEEE Trans. Power Syst, vol.23, issue.3, pp.1-10, 2007.
DOI : 10.1109/tpwrs.2008.922654

E. Spot-auction, F. Day-ahead-price-for, and . Market, , pp.2017-2029, 2015.

I. Ranaweera, O. Midtgrd, and M. Korps, Distributed control scheme for residential battery energy storage units coupled with PV systems, Renewable Energy, vol.113, pp.1099-1110, 2017.
DOI : 10.1016/j.renene.2017.06.084

URL : https://ntnuopen.ntnu.no/ntnu-xmlui/bitstream/11250/2468090/4/Distributed%20Control%20Scheme%20for%20Residential%20Battery%20Energy%20Storage%20Units%20Coupled%20With%20PV%20Systems.pdf

B. Yu, Design and Experimental Results of Battery Charging System for Microgrid System, International Journal of Photoenergy, vol.2016, 2016.
DOI : 10.1109/TIA.2014.2336979

URL : http://downloads.hindawi.com/journals/ijp/2016/7134904.pdf

F. Y. Melhem, O. Grunder, Z. Hammoudan, and N. Moubayed, Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles, Canadian Journal of Electrical and Computer Engineering, vol.40, issue.2, pp.128-138, 2017.

X. Jin, K. Baker, D. Christensen, and S. Isley, Foresee: A user-centric home energy management system for energy efficiency and demand response, Applied Energy, vol.205, pp.1583-1595, 2017.
DOI : 10.1016/j.apenergy.2017.08.166