Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
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[1] Robert P. Broadwater,et al. Current status and future advances for wind speed and power forecasting , 2014 .
[2] Dongxiao Niu,et al. Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm , 2014 .
[3] Jie Yu,et al. Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach , 2014 .
[4] Jianzhou Wang,et al. A hybrid forecasting approach applied to wind speed time series , 2013 .
[5] Hui Liu,et al. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks , 2013 .
[6] Wenyu Zhang,et al. Short-term wind speed forecasting based on a hybrid model , 2013, Appl. Soft Comput..
[7] Jie Wu,et al. Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model , 2013 .
[8] Jianzhou Wang,et al. Wind energy potential assessment for the site of Inner Mongolia in China , 2013 .
[9] Andrew Kusiak,et al. Very short-term wind speed forecasting with Bayesian structural break model , 2013 .
[10] Bijaya Ketan Panigrahi,et al. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm , 2013 .
[11] Chao Chen,et al. A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks , 2012 .
[12] Hui Liu,et al. Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction , 2012 .
[13] Tomonobu Senjyu,et al. A new strategy for predicting short-term wind speed using soft computing models , 2012 .
[14] Jiangfeng Wang,et al. Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China , 2012 .
[15] Haiyan Lu,et al. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model , 2012 .
[16] J. A. Carta,et al. A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind , 2011 .
[17] Joao P. S. Catalao,et al. Short-term wind power forecasting in Portugal by neural networks and wavelet transform , 2011 .
[18] Ruddy Blonbou,et al. Very short-term wind power forecasting with neural networks and adaptive Bayesian learning , 2011 .
[19] Jianzhou Wang,et al. A corrected hybrid approach for wind speed prediction in Hexi Corridor of China , 2011 .
[20] Sancho Salcedo-Sanz,et al. Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evo , 2011 .
[21] M. M. Ardehali,et al. Very short-term wind speed prediction: A new artificial neural network–Markov chain model , 2011 .
[22] Jing Shi,et al. Bayesian adaptive combination of short-term wind speed forecasts from neural network models , 2011 .
[23] Peng Guo,et al. A Review of Wind Power Forecasting Models , 2011 .
[24] Heping Liu,et al. Prediction of wind speed time series using modified Taylor Kriging method , 2010 .
[25] Erasmo Cadenas,et al. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model , 2010 .
[26] Chao Chen,et al. A hybrid statistical method to predict wind speed and wind power , 2010 .
[27] Jianzhou Wang,et al. A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand , 2009 .
[28] R. E. Abdel-Aal,et al. Modeling and forecasting the mean hourly wind speed time series using GMDH-based abductive networks , 2009 .
[29] Ángel M. Pérez-Bellido,et al. Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction , 2009 .
[30] R. Kavasseri,et al. Day-ahead wind speed forecasting using f-ARIMA models , 2009 .
[31] W. Rivera,et al. Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks , 2009 .
[32] U. Focken,et al. New developments in wind energy forecasting , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[33] Eugene Fernandez,et al. Analysis of wind power generation and prediction using ANN: A case study , 2008 .
[34] Mehrdad Abedi,et al. Short term wind speed forecasting for wind turbine applications using linear prediction method , 2008 .
[35] S.A.P. Kani,et al. A new ANN-based methodology for very short-term wind speed prediction using Markov chain approach , 2008, 2008 IEEE Canada Electric Power Conference.
[36] W. Rivera,et al. Wind speed forecasting in the South Coast of Oaxaca, México , 2007 .
[37] D. Basak,et al. Support Vector Regression , 2008 .
[38] R.W. Dunn,et al. One-hour-ahead wind speed prediction using a Bayesian methodology , 2006, 2006 IEEE Power Engineering Society General Meeting.
[39] E.F. El-Saadany,et al. One day ahead prediction of wind speed using annual trends , 2006, 2006 IEEE Power Engineering Society General Meeting.
[40] J.B. Theocharis,et al. Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.
[41] Ismael Sánchez,et al. Short-term prediction of wind energy production , 2006 .
[42] A. Shamshad,et al. First and second order Markov chain models for synthetic generation of wind speed time series , 2005 .
[43] P. Pinson,et al. What performance can be expected by short-term wind power prediction models depending on site characteristics? , 2004 .
[44] H. Kantz,et al. Markov chain model for turbulent wind speed data , 2004 .
[45] Mohamed Mohandes,et al. Support vector machines for wind speed prediction , 2004 .
[46] Michael Negnevitsky,et al. SHORT-TERM WIND FORECASTING TECHNIQUES FOR POWER GENERATION , 2004 .
[47] Lennart Söder,et al. Wind energy technology and current status : a review , 2000 .
[48] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[49] Qin He,et al. Neural Network and Its Application in IR , 1999 .
[50] Alexander J. Smola,et al. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing , 1996, NIPS.
[51] Lars Landberg,et al. Short-term prediction of local wind conditions , 1994 .
[52] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[53] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[54] W. Kruskal,et al. Use of Ranks in One-Criterion Variance Analysis , 1952 .