[1] M. Shahidehpour, H. Yamin, and Z. Li, Market Operations in Electric Power Systems, Wiley Publications, 2002.
[2] D.S. Kirschen, and G. Strbac, Fundamentals of Power System Economics, Wiley Publications, 2004.
[3] A. Mohsenian-Rad, and A. Leon-Garcia, “Optimal residential load control with price prediction in real-time electricity pricing environments,” IEEE Transactions on Smart Grid, vol. 1, no. 2, pp. 120-133, 2010.
[4] M. Marzband, A. Sumper, A. Ruiz-Álvarez, J.L. Domínguez-García., and B. Tomoiag˘a, “Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets,” Applied Energy, vol. 106, pp. 365-76, 2013.
[5] M. Marzband, A. Sumper, J. Domínguez-García, and R. Gumara-Ferret, “Experimental validation of a real time energy management system for microgrids in islanded mode using a local day-ahead electricity market and MINLP,” Energy Conversion and Management, vol. 76, pp. 314-22, 2013.
[6] M. Marzband, M. Ghadimi, A. Sumper, and J. Dom´ınguez-Garc´ıa, “Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode,” Applied Energy, vol. 128, pp. 164-74, 2014.
[7] M. Shafie-Khah, and J.P.S. Catalao, “A stochastic multi-layer agent-based model to study electricity market participants behavior,” IEEE Transaction on Power Systems, vol. 30, pp. 867-881, 2015.
[8] S. Kazempour, A.J. Conejo, and C. Ruiz, “Strategic bidding for a large consumer,” IEEE Transactions on Power Systems, vol. 30, pp. 848-856, 2015.
[9] D.S. Kirschen, "Demand-side view of electricity markets,” IEEE Transaction on Power Systems, vol. 18, pp. 520-527, 2003.
[10] Q. Zhang, and X. Wang, “Hedge contract characterization and risk-constrained electricity procurement,” IEEE Transactions Power Systems, vol. 24, no. 3, pp. 1547-1558, 2009.
[11] J.R. Birge, and F. Louveaux, Introduction to Stochastic Programming, Springer Publications, 1997.
[12] A. Hatami, H. Seifi, and M. Sheik-el-Eslami, “A stochastic-based decision-making framework for an electricity retailer: time-of-use pricing and electricity portfolio optimization,” IEEE Transactions on Power Systems, vol. 26, no. 4, pp. 1808-1816, 2009.
[13] C.K. Woo, R.I. Karimov, and I. Horowitz, “Managing electricity procurement cost and risk by a local distribution company,” Energy Policy, vol. 32, pp. 635-645, 2004.
[14] C.K. Woo, “Efficient frontiers for electricity procurement by an LDC with multiple purchase options,” Omega, vol. 34, no. 1, pp. 70-80, 2006.
[15] M. Carrión, A.J. Conejo, and J.M. Arroyo, “Forward contracting and selling price determination for a retailer,” IEEE Transactions on Power System, vol. 22, pp. 2105-2114, 2007.
[16] M.H. Albadi, and E.F. El-Saadany, “A summary of demand response in electricity markets,” Electric Power Systems Research, vol. 78, no. 11, pp. 1989-1996, 2008.
[17] A.R. Hatami, H. Seifi, and M.K. Sheikh-El-Eslami, “Optimal selling price and energy procurement strategies for a retailer in an electricity market,” Electric Power Systems Research, vol. 79, pp. 246-254, 2009.
[18] S.A. Gabriel, A.J. Conejo, M.A. Plazas, and S. Balakrishnan, “Optimal price and quantity determination for retail electric power contracts,” IEEE Transactions on Power System, vol. 21, no. 1, pp. 180-187, 2006.
[19] I. Horowitz, and C.K. Woo, “Designing Pareto-superior demand-response rate options,” Energy (Oxford), vol. 31, no. 6-7, pp. 1040-1051, 2006.
[20] J.M. Yusta, I.J. Ramrez-Rosado, J.A. Dominguez-Navarro, and J.M. Perez-Vidal, “Optimal electricity price calculation model for retailers in a deregulated market,” International Journal of Electric Power and Energy Systems, vol. 27, pp. 437-447, 2005.
[23] R. Rockafellar, and S. Uryasev, “Optimization of conditional value-at-risk,” Journal of Risk, pp. 21-41, 2000.
[24] R.T. Rockafellar, and S. Uryasey,“Conditional value-at-risk for general loss distributions,” Journal of Banking and Finance, vol. 26, pp. 1443-1471, 2002.
[25] S. Huang, and K.R. Shih, “Short-term load forecasting via ARMA model identification including non-Gaussian process considerations,” IEEE Transactions on Power System, vol. 18, pp. 673-679, 2003.
[26]
C. Chatfield,
The Analysis Of Time Series: An Introduction, Chapman & Hall/CRC Publications, 2004.
[27] G.E.P. Box, G.M. Jenkins, and G.C. Reinsel, Time Series Analysis: Forecasting and Control, Wiley Publications, 1994.
[28] P. Chen, T. Pedersen, B. Bak-Jensen, and Z. Chen, “ARIMA-based time series model of stochastic wind power generation,” IEEE Transactions on Power Systems, vol. 25, pp. 667-676, 2010.
[29] K. Turkman, M.G. Scotto, and Z.B. Patrícia, Non-Linear Time Series, Springer Publications, 2014.
[30] http://www.sas.com
[31] M. Oritz , J. Rios , and M. Acosta,“Wind generation and power system interaction analysis using probabilistic techniques,” 8th International Conference on Electrical Power Quality and Utilization, pp. 12-14, 2008.
[32] S.T. Rachev, Probability Metrics and the Stability of Stochastic Model, Wiley Publications, 1991.
[33] J.M. Morales, M. Carrion, S. Pineda, and A.J. Conejo,“Scenario reduction for futures market trading in electricity markets,” IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 878-888, 2009.
[34] H. Heitsch, and W. Römisch, “Scenario reduction algorithms in stochastic programming,” Computational Optimization and Applications, vol. 24, pp. 187-206, 2003.
[35] A. Rosa, Fundamental of Renewable Energy Processes, Elsevier Publications, 2009.
[36] R.H. Liang, and J.H. Liao, “A Fuzzy-Optimization Approach for Generation Scheduling With Wind and Solar Energy Systems,” IEEE Transactions on Power Systems, vol. 22, pp. 1665-1674, 2007.
[37] http://www.pjm.com/.
[38] http://www.me.utexas.edu/~solarlab/tsrdb/index.html/.
[39] R. Sioshansi, and W. Short, “Evaluating the impacts of real-time pricing on the usage of wind generation,” IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 516-524, 2009.
)