10.1007/978-1-4899-4541-9
10.1016/0893-6080(89)90020-8
10.1109/TSTE.2012.2232944
10.1109/IJCNN.2011.6033627
10.1017/CBO9780511543494.013
bishop, 1996, Neural Networks for Pattern Recognition
hamilton, 1994, Time Series Analysis, 10.1515/9780691218632
10.1111/j.2044-8317.1990.tb00930.x
10.1162/neco.1996.8.1.152
10.1109/TPWRS.2010.2045774
10.1109/TPWRS.2012.2187803
10.1109/TPWRS.2010.2065818
10.1109/TSTE.2012.2199340
10.1109/TSTE.2011.2159254
10.1109/TPWRS.2010.2048133
10.1109/TPWRS.2007.901117
10.1016/j.neucom.2005.12.126
heskes, 1997, Neural Information Processing Systems, 9, 176
10.1109/TPWRS.2008.922526
10.1162/neco.1992.4.5.720
ma, 2009, A review on the forecasting of wind speed and generated power, Renew Sustain Energy Rev, 13, 915, 10.1016/j.rser.2008.02.002
nielsen, 2006, Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts, Wind Energy, 9, 95, 10.1002/we.180
10.1109/TSTE.2012.2200302
10.1016/j.rser.2007.01.015
10.1016/j.renene.2011.08.015
giebel, 2011, ?The state-of-the-art in short-term prediction of wind Power A literature review ?
10.1260/030952407780811384
10.1109/TPWRS.2008.926431
seber, 2003, Linear Regression Analysis, 10.1002/9780471722199
10.1109/TSMCB.2011.2168604
10.1016/j.neucom.2010.02.019
10.1080/01621459.1972.10481224
cram�r, 1971, Mathematical Methods of Statistics
10.1080/01621459.1997.10474027
10.1109/NAPS.2010.5619586
10.1109/TSTE.2011.2182215