1. 1. J.Gao, Y. Xiao, J.Liu, W.Ling, and C.L.P.Chen, “A survey of communication / networking in Smart Grids, “Future Generation Computer Systems, vol.28, no.2, pp.391– 404,2012
   2. W. Wang, Y. Xu, and M. Khanna, “A survey on the communication architectures in smartgrid,”Computer Networks, vol.55, no.15, pp.3604–3629,2011.
   3.  P.Murphy et al.,“Enabling tomorrow’s electricity system: report of the Ontario Smart Grid forum,” Tech. Rep., Ontario Smart Grid Forum, 2010,
   4. CEA,“The smart grid: a pragmatic approach,” Tech .Rep., Canadian Electricity Association, 2010, http://www. electricity. ca/ media /Smart Grid /SmartGridpaperEN. pdf
   5. Palensky, P. and D. Dietrich, Demand side management: Demand respons intelligent energy systems, and smart loads. IEEE transactions on industrial informatics, 2011. 7(3): p. 381-388.
   6. Sad, W., et al., Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications. IEEE Signal Processing Magazine, 2012. 29(5): p. 86-105.
   7. Strbac, G., Demand side management: Benefits and challenges. Energy policy, 2008. 36(12): p. 4419-4426.
   8. Wang, B., Y. Li, and C. Gao, Demand side management outlook under smart grid infrastructure. Automation of Electric Power Systems, 2009. 20: p. 17-22.
   9. Boshell, F. and O. Veloza. Review of developed demand side management programs including different concepts and their results. in Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES. 2008. IEEE.
   10. Ming-jun, W., Load management and demand side management in electricity market environment [J]. Power System Technology, 2005. 5: p. 000.
   11. Mohsenian-Rad, A.-H., et al., Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE transactions on Smart Grid, 2010. 1(3): p. 320-331.
   
   
2. 1. J.Gao, Y. Xiao, J.Liu, W.Ling, and C.L.P.Chen, “A survey of communication / networking in Smart Grids, “Future Generation Computer Systems, vol.28, no.2, pp.391– 404,2012.
   2. W. Wang, Y. Xu, and M. Khanna, “A survey on the communication architectures in smartgrid,”Computer Networks, vol.55, no.15, pp.3604–3629,2011.
   3. P.Murphy et al.,“Enabling tomorrow’s electricity system: report of the Ontario Smart Grid forum,” Tech. Rep., Ontario Smart Grid Forum, 2010,
   4. CEA,“The smart grid: a pragmatic approach,” Tech .Rep., Canadian Electricity Association, 2010, http://www. electricity. ca/ media /Smart Grid /SmartGridpaperEN. pdf.
   5. Palensky, P. and D. Dietrich, Demand side management: Demand respons intelligent energy systems, and smart loads. IEEE transactions on industrial informatics, 2011. 7(3): p. 381-388
   6. Sad, W., et al., Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications. IEEE Signal Processing Magazine, 2012. 29(5): p. 86-105.
   7. Strbac, G., Demand side management: Benefits and challenges. Energy policy, 2008. 36(12): p. 4419-4426.
   8. Wang, B., Y. Li, and C. Gao, Demand side management outlook under smart grid infrastructure. Automation of Electric Power Systems, 2009. 20: p. 17-22.
   9.  Boshell, F. and O. Veloza. Review of developed demand side management programs including different concepts and their results. in Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES. 2008. IEEE.
   10. Ming-jun, W., Load management and demand side management in electricity market environment [J]. Power System Technology, 2005. 5: p. 000.
   11. Mohsenian-Rad, A.-H., et al., Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE transactions on Smart Grid, 2010. 1(3): p. 320-331.