C. Yin, H. Wu, F. Locment, and M. Sechilariu, “Energy management of DC microgrid based on photovoltaic combined with diesel generator and supercapacitor,” Energy Convers. Manage., vol. 132, pp. 14-27, 2017.
 E. Hossain, E. Kabalci, R. Bayindir, and R. Perez, “Microgrid testbeds around the world: State of art,” Energy Convers. Manage., vol. 86, pp. 132-153, 2014.
 A. Deihimi, B. Keshavarz Zahed, and R. Iravani, “An interactive operation management of a micro-grid with multiple distributed generations using multi-objective uniform water cycle algorithm,” Energy, vol. 106, pp. 482-509, 2016.
 E. E. Sfikas, Y. A. Katsigiannis, and P. S. Georgilakis, “Simultaneous capacity optimization of distributed generation and storage in medium voltage microgrids,” Int. J. Electr. Power Energy Syst., vol. 67, pp. 101-113, 2015.
 M. Marzband, F. Azarinejadian, M. Savaghebi, and J. M. Guerrero, “An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with markov chain,” IEEE Syst. J., vol. PP, pp. 1-11, 2015.
 T. Wu, Q. Yang, Z. Bao, and W. Yan, “Coordinated energy dispatching in microgrid with wind power generation and plug-in electric vehicles,” IEEE Trans. Smart Grid, vol. 4, pp. 1453-1463, 2013.
 J. Garcia-Gonzalez, R. M. R. d. l. Muela, L. M. Santos, and A. M. Gonzalez, “stochastic joint optimization of wind generation and pumped-storage units in an electricity market,” IEEE Trans. Power Syst., vol. 23, pp. 460-468, 2008.
 L. Guo, W. Liu, X. Li, Y. Liu, B. Jiao, W. Wang, “Energy management system for stand-alone wind-powered-desalination microgrid,” IEEE Trans. Smart Grid, vol. 7, pp. 1079-1087, 2016.
 M. Motevasel and A. R. Seifi, “Expert energy management of a micro-grid considering wind energy uncertainty,” Energy Convers. Manage., vol. 83, pp. 58-72, 2014.
 C.S. Karavas, G. Kyriakarakos, K. G. Arvanitis, and G. Papadakis, “A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous poly generation microgrids,” Energy Convers. Manage., vol. 103, pp. 166-179, 2015.
 S. A. Alavi, A. Ahmadian, and M. Aliakbar-Golkar, “Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method,” Energy Convers. Manage., vol. 95, pp. 314-325, 2015.
 M. A. Fotouhi Ghazvini, J. Soares, N. Horta, R. Neves, R. Castro, and Z. Vale, “A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers,” Appl. Energy, vol. 151, pp. 102-118, 2015.
 H. A. Aalami, M. P. Moghaddam, and G. R. Yousefi, “Demand response modeling considering Interruptible/ Curtailable loads and capacity market programs,” Appl. Energy, vol. 87, pp. 243-250, 2010.
 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.
 M. Mazidi, A. Zakariazadeh, S. Jadid, and P. Siano, “Integrated scheduling of renewable generation and demand response programs in a microgrid,” Energy Convers. Manage., vol. 86, pp. 1118-1127, 2014.
 G. R. Aghajani, H. A. Shayanfar, and H. Shayeghi, “Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management,” Energy Convers. Manage., vol. 106, pp. 308-321, 2015.
 R. Wang, P. Wang, G. Xiao, and S. Gong, “Power demand and supply management in microgrids with uncertainties of renewable energies,” Int. J. Electr. Power Energy Syst., vol. 63, pp. 260-269, 2014.
 H. Safamehr and A. Rahimi-Kian, “A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program,” Energy, vol. 91, pp. 283-293, 2015.
 Y. Simmhan, S. Aman, A. Kumbhare, R. Liu, S. Stevens, Q. Zhou, “Cloud-based software platform for big data analytics in smart grids,” Comput. Sci. Eng., vol. 15, pp. 38-47, 2013.
 W. Alharbi and K. Raahemifar, “Probabilistic coordination of microgrid energy resources operation considering uncertainties,” Electr. Power Syst. Res., vol. 128, pp. 1-10, 2015.
 M. Marzband, M. Ghadimi, A. Sumper, and J. L. Domínguez-García, “Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode,” Appl. Energy, vol. 128, pp. 164-174, 2014.
 B. Zhao, M. Xue, X. Zhang, C. Wang, and J. Zhao, “An MAS based energy management system for a stand-alone microgrid at high altitude,” Appl. Energy, vol. 143, pp. 251-261, 2015.
 S. He, Q. H. Wu, and J. R. Saunders, “Group search optimizer: an optimization algorithm inspired by animal searching behavior,” IEEE Trans. Evol. Comput., vol. 13, pp. 973-990, 2009.
 M. Moradi-Dalvand, B. Mohammadi-Ivatloo, A. Najafi, and A. Rabiee, “Continuous quick group search optimizer for solving non-convex economic dispatch problems,” Electr. Power Syst. Res., vol. 93, pp. 93-105, 2012.
 H. A. Aalami, M. P. Moghaddam, and G. R. Yousefi, “Modeling and prioritizing demand response programs in power markets,” Electr. Power Syst. Res., vol. 80, pp. 426-435, 2010.