References [1] "Forecasting output", Wind Power Monthly, pp 37-46, Dec. 2003. [2] G. Giebel, R. Brownword, and G. Kariniotakis, “State of the art on short term wind power prediction,” ANEMOS. Project Deliverable D1.1, June 2003, available online: http://anemos.cma.fr. [3] I. Marti, G. N. Kariniotakis, P. Pinson, and I. Sanchez, “Evaluation of advanced wind power forecasting models - the results of the anemos project,” in In Proc. of the European Wind Energy Conference 2006, vol. 27/2-2/3, Athens, Greece, 2006. [4] A. Fabbri, et al. “Assessment of the Cost Associated with Wind Generation Prediction Errors in a Liberalized Electricity Market”, IEEE Transactions on Power Systems, Vol. 20, No. 3, August 2005. [5] P. Pinson, C. Chevallier, G. N. Kariniotakis, “Trading wind generation from short-term probabilistic forecasts of wind power,” IEEE Transactions on Power Systems, vol. 22, no. 3, pp. 1148–1156, 2007. [6] J. Matevosyan and L. Söder, “Minimization of imbalance cost trading wind power on the short-term power market,” IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1396–1404, Aug. 2006. [7] T. Jonsson, “Forecasting of electricity prices accounting for wind power predictions”, Masters Thesis, IMM-DTU, Kongens Lyngby, 2008. [8] Bessa, R.J., “Methodologies for the participation of an electric vehicles’ aggregator in the electricity market”, PhD Thesis, FEUP, Porto, 2013. [9] J. Juban, L. Fugon, and G. N. Kariniotakis, “Probabilistic short-term wind power forecasting based on kernel density estimators,” in In Proc. of the European Wind Energy Conference, Milan, Italy, May 2007. [10] J. Juban, N. Siebert, and G. N. Kariniotakis, “Probabilistic short-term wind power forecasting for the optimal management of wind generation,” in In Proc. of the IEEE PowerTech Conference, Lausanne, Switzerland, July 2007. [11] H. A. Nielsen, H. Madsen, and T. S. Nielsen, “Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts,” Wind Energy, vol. 9, no. 1-2, pp. 95–108, 2006. [12] A. Botterud, et al., “Wind power trading under uncertainty in LMP markets”, IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 894–903, May 2012. [13] Zugno, M.; Jónsson, T.; Pinson, P., “Trading wind energy on the basis of probabilistic forecasts both of wind generation and of market quantities”, Wind Energy, vol. 16, no. 6, pp. 909–926, Sept. 2013. [14] Bremnes, J. B. “Probabilistic wind power forecasts using local quantile regression,” Wind Energy, vol. 7, no. 1, pp. 47–54, Jan.–Mar. 2004. [15] Angarita J.L, Hernandez C.A., Usaola, J. “Analysis of a wind farm’s revenue in the British and Spanish markets”, Energy Policy, Vol. 35, Issue 10, oct 2007, pp. 5051-5059. [16] Holttinen H. “Optimal electricity market for wind power”, Energy Policy, Vol. 33, Issue 16, nov. 2005, pp. 2052-2063. [17] U. Linnet, “Tools supporting wind energy trade in deregulated markets,” Master’s thesis, Technical Univ. Denmark, Kgs. Lyngby, Denmark, 2005, IMM-Thesis-2005-56. [18] Chaves-Ávila, J. P., Hakvoort, R. A., Ramos, A., “Short-term strategies for Dutch wind power producers to reduce imbalance costs”, Energy Policy, vol. 52, pp. 573–582, January 2013. [19] Bourry, F.; Kariniotakis, G., “Strategies for wind power trading in sequential shortterm electricity markets”, European Wind Energy Conference & Exhibition EWEC, Marseille, April 2009.