S. Ma, X. Chen, G. Song, J. Wang, L. Sun et al., The Converged Service Oriented Architecture in Smart Home Service, 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
DOI : 10.1109/CyberC.2012.47

V. Ricquebourg, D. Menga, D. Durand, B. Marhic, L. Delahoche et al., The Smart Home Concept : our immediate future, 2006 1ST IEEE International Conference on E-Learning in Industrial Electronics, pp.23-28, 2006.
DOI : 10.1109/ICELIE.2006.347206

P. Siano, Demand response and smart grids???A survey, Renewable and Sustainable Energy Reviews, vol.30, issue.0, pp.461-478, 2014.
DOI : 10.1016/j.rser.2013.10.022

Z. Chen, L. Wu, and Y. Fu, Real-time price-based demand response management for residential appliances via stochastic optimization and robust optimization. Smart Grid, IEEE Transactions on, vol.3, issue.4, pp.1822-1831, 2012.

X. Chen, T. Wei, and S. Hu, Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home. Smart Grid, IEEE Transactions on, vol.4, issue.2, pp.932-941, 2013.

M. Pedrasa, T. Spooner, and I. Macgill, Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. Smart Grid, IEEE Transactions on, vol.1, issue.2, pp.134-143, 2010.

Y. Li, B. L. Ng, M. Trayer, and L. Liu, Automated Residential Demand Response: Algorithmic Implications of Pricing Models, IEEE Transactions on Smart Grid, vol.3, issue.4, pp.1712-1721, 2012.
DOI : 10.1109/TSG.2012.2218262

A. Safdarian, M. Fotuhi-firuzabad, and M. Lehtonen, A Distributed Algorithm for Managing Residential Demand Response in Smart Grids, IEEE Transactions on Industrial Informatics, vol.10, issue.4, pp.2385-2393, 2014.
DOI : 10.1109/TII.2014.2316639

S. Kahrobaee, R. Rajabzadeh, L. K. Soh, and S. Asgarpoor, A multiagent modeling and investigation of smart homes with power generation, storage, and trading features. Smart Grid, IEEE Transactions on, vol.4, issue.2, pp.659-668, 2013.

A. H. Mohsenian-rad and A. Leon-garcia, Optimal residential load control with price prediction in real-time electricity pricing environments. Smart Grid, IEEE Transactions on, vol.1, issue.2, pp.120-133, 2010.

I. Atzeni, L. Ordonez, G. Scutari, D. Palomar, and J. Fonollosa, Demand-side management via distributed energy generation and storage optimization. Smart Grid, IEEE Transactions on, vol.4, issue.2, pp.866-876, 2013.

J. Kennedy and R. Eberhart, Particle swarm optimization, Proceedings of ICNN'95, International Conference on Neural Networks, 1942.
DOI : 10.1109/ICNN.1995.488968

Y. Shi and R. Eberhart, A modified particle swarm optimizer, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), pp.69-73, 1998.
DOI : 10.1109/ICEC.1998.699146

F. J. Lin, L. T. Teng, J. W. Lin, and S. Y. Chen, Recurrent functional-link-based fuzzy-neural-network-controlled induction-generator system using improved particle swarm optimization, Industrial Electronics IEEE Transactions on, vol.56, issue.5, pp.1557-1577, 2009.

F. Van-den-bergh and A. Engelbrecht, A Cooperative Approach to Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, vol.8, issue.3, pp.225-239, 2004.
DOI : 10.1109/TEVC.2004.826069

R. Eberhart and Y. Shi, Comparing inertia weights and constriction factors in particle swarm optimization, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), pp.84-88, 2000.
DOI : 10.1109/CEC.2000.870279