A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods
暂无分享,去创建一个
[1] Chao Chen,et al. A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks , 2012 .
[2] Chao Liu,et al. Short-term prediction of wind power using EMD and chaotic theory , 2012 .
[3] Tao Wu,et al. A Novel Approach for Wind Speed Forecasting Based on EMD and Time-Series Analysis , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.
[4] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[5] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[6] Jian Hu,et al. EMD-KNN Model for Annual Average Rainfall Forecasting , 2013 .
[7] Davide Anguita,et al. Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression , 2013, IEEE Transactions on Smart Grid.
[8] Richard A. Davis,et al. Introduction to time series and forecasting , 1998 .
[9] Mark O'Malley,et al. Impact of Wind Forecast Error Statistics Upon Unit Commitment , 2012, IEEE Transactions on Sustainable Energy.
[10] Patrick Flandrin,et al. A complete ensemble empirical mode decomposition with adaptive noise , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] K. Lai,et al. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm , 2008 .
[12] Ran Li,et al. Short-term wind speed forecasting for wind farm based on empirical mode decomposition , 2008, 2008 International Conference on Electrical Machines and Systems.
[13] Huaqiang Li,et al. Chaotic time series prediction model of wind power , 2015, 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).
[14] Peter Lynch,et al. The origins of computer weather prediction and climate modeling , 2008, J. Comput. Phys..
[15] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[16] Norden E. Huang,et al. Complementary Ensemble Empirical Mode Decomposition: a Novel Noise Enhanced Data Analysis Method , 2010, Adv. Data Sci. Adapt. Anal..
[17] Wei-Chiang Hong,et al. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model , 2009 .
[18] D. Infield,et al. Application of Auto-Regressive Models to U.K. Wind Speed Data for Power System Impact Studies , 2012, IEEE Transactions on Sustainable Energy.
[19] Song Jia,et al. A new method for the short-term wind speed forecasting , 2011, 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).
[20] Mu-Chen Chen,et al. Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks , 2012 .
[21] S. N. Singh,et al. AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network , 2012, IEEE Transactions on Sustainable Energy.
[22] Ling Tang,et al. A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting , 2015, Ann. Oper. Res..
[23] Saad Mekhilef,et al. Long-Term Wind Speed Forecasting and General Pattern Recognition Using Neural Networks , 2014, IEEE Transactions on Sustainable Energy.
[24] Cyril Voyant,et al. Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation , 2012, ArXiv.
[25] Jianzhou Wang,et al. A hybrid forecasting approach applied to wind speed time series , 2013 .
[26] Wang Xiaolan,et al. One-Month Ahead Prediction of Wind Speed and Output Power Based on EMD and LSSVM , 2009, 2009 International Conference on Energy and Environment Technology.
[27] P. N. Suganthan,et al. Empirical Mode Decomposition-k Nearest Neighbor Models for Wind Speed Forecasting , 2014 .
[28] Pengjian Shang,et al. APPLICATION OF EMPIRICAL MODE DECOMPOSITION COMBINED WITH k-NEAREST NEIGHBORS APPROACH IN FINANCIAL TIME SERIES FORECASTING , 2012 .
[29] Gabriel Rilling,et al. On empirical mode decomposition and its algorithms , 2003 .
[30] Liu Peng. Combined Model Based on EMD-SVM for Short-term Wind Power Prediction , 2011 .
[31] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[32] D. Basak,et al. Support Vector Regression , 2008 .
[33] Haiyan Lu,et al. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model , 2012 .
[34] Ponnuthurai N. Suganthan,et al. A hybrid ARIMA-DENFIS method for wind speed forecasting , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[35] Yunqian Ma,et al. Practical selection of SVM parameters and noise estimation for SVM regression , 2004, Neural Networks.