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References

1 
Wood A. J., Wollenberg B. F., 1996, Power Generation, Operation, and Control, Wiley-InterscienceGoogle Search
2 
Farhangi H., 2010, The Path of the Smart Grid, IEEE Power and Energy Magazine, Vol. 8, pp. 18-28DOI
3 
Ruiz N., Cobelo I., Oyarzabal J., May 2009, A direct load control model for virtual power plant management, IEEE Trans. on Power Systems, Vol. 24, No. 2, pp. 959-966DOI
4 
Weers D. D., Shamsedin M. A., July 1987, Testing a new direct load control power line communication system, IEEE Trans. on Power Delivery, Vol. 2, No. 3, pp. 657-660DOI
5 
Tarasak P., 2011, Optimal real-time pricing under load uncertainty based on utility maximization for smart grid, in Proc. of IEEE Conf. on Smart Grid CommunicationsDOI
6 
Chen J., Yang B., Guan X. P., Nov. 2012, Optimal demand response scheduling with stackelberg game approach under load uncertainty for smart grid, in Proc. 3rd IEEE Int. Conf. Smart Grid Commun., pp. 546-551DOI
7 
Samadi P., Mohsenian-Rad A. H., Wong V., Schober R., Jun. 2013, Tackling the load uncertainty challenges for energy consumption scheduling in smart grid, IEEE Trans. Smart Grid, Vol. 4, No. 2, pp. 1007-1016DOI
8 
Koutsopoulos I., Tassiulas L., Jul. 2012, Optimal control policies for power demand scheduling in the smart grid, IEEE J. Select. Areas Commun., Vol. 30, pp. 1049-1060DOI
9 
Mortaji H., Ow S. H., Moghavvemi M., Almurib H. A. F., 2016, Smart grid demand response management using internet of things for load shedding and smart- direct load control, in Proc. 2016 IEEE Ind. Appl. Soc. Ann. Meeting, Portland, OR, USA, pp. 1-7DOI
10 
Palensky P., Dietrich D., 2011, Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads, IEEE Transactions on Industrial Informatics, Vol. 7, No. 3, pp. 381-388DOI
11 
Siano P., 2014, Demand response and smart grids-A survey, Renew. Sustain. Energy Rev., Vol. 30, pp. 461-478DOI
12 
Mohsenian-Rad A. H., Wong V. W. S., Jatskevich J., Schober R., Leon-Garcia A., Dec. 2010, Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid, IEEE Trans. on Smart Grid, Vol. 1, No. 3, pp. 320-331DOI
13 
Nguyen H. K., Song J. B., Han Z., Mar. 2012, Demand side management to reduce peak-to-average ratio using game theory in smart grid, in Proc. IEEE Int. Conf. Comput. Commun. Workshops, Orlando, FL, USA, pp. 91-96DOI
14 
Chen C., Kishore S., Snyder L. V., 2011, An innovative RTP-based residential power scheduling scheme for smart grids, Proc. ICASSPDOI
15 
Lee S., 2014, DSM and DR Strategies for Sudden Demand Increases in the South Korean Power System [C], National Harbor, MD (Washington, DC Metro Area),Maryland, USA. IEEE PES General MeetingDOI
16 
Niyato D., Wang P., Han Z., Hossain E., 2011, Impact of packet loss on power demand estimation and power supply cost in smart grid, In : Proceedings of IEEE wireless com- munications and networking conference(WCNC), Cancun, pp. 2024-2029DOI
17 
Hart D. G., 2008, Using AMI to realize the smart grid, IEEE Power and Energy Society General Meeting 2008 - Conversion and Delivery of Electrical Energy in the 21st Century, pp. 1-2DOI
18 
Chen S., Shroff N. B., Sinha P., Jul. 2013, Heterogeneous delay tolerant task scheduling and energy management in the smart grid with renewable energy, IEEE J. Sel. Areas Commun., Vol. 31, No. 7, pp. 1258-1267DOI
19 
Song L., Xiao Y., Schar M. V. D., July 2014, Demand Side Management in Smart Grids Using a Repeated Game Framework, IEEE Journal on Selected Areas in Communications, Vol. 32, No. 7, pp. 1412-1424DOI