Kernel ridge regression with active learning for wind speed prediction
暂无分享,去创建一个
[1] T. O. Halawani,et al. A neural networks approach for wind speed prediction , 1998 .
[2] M. C. Deo,et al. Forecasting wind with neural networks , 2003 .
[3] Y. Himri,et al. REVIEW AND USE OF THE ALGERIAN RENEWABLE ENERGY FOR SUSTAINABLE DEVELOPMENT , 2009 .
[4] F. Melgani,et al. A two-stage regression approach for spectroscopic quantitative analysis , 2011 .
[5] Mohamed Mohandes,et al. Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS) , 2011 .
[6] A. Belouchrani,et al. A contribution in the actualization of wind map of Algeria , 2011 .
[7] Matthew A. Lackner,et al. Uncertainty Analysis in Wind Resource Assessment and Wind Energy Production Estimation , 2007 .
[8] Antonio Lanzotti,et al. Wind speed parameter estimation from one‐month sample via Bayesian approach , 2010, Qual. Reliab. Eng. Int..
[9] Nabil Benoudjit,et al. Multiple architecture system for wind speed prediction , 2011 .
[10] Ioannis B. Theocharis,et al. Locally recurrent neural networks for wind speed prediction using spatial correlation , 2007, Inf. Sci..
[11] Ergin Erdem,et al. ARMA based approaches for forecasting the tuple of wind speed and direction , 2011 .
[12] Heping Liu,et al. Comprehensive evaluation of ARMA–GARCH(-M) approaches for modeling the mean and volatility of wind speed , 2011 .
[13] Gong Li,et al. Application of Bayesian model averaging in modeling long-term wind speed distributions , 2010 .
[14] Zhang Yan,et al. A review on the forecasting of wind speed and generated power , 2009 .
[15] Farid Melgani,et al. Active Learning Methods for Electrocardiographic Signal Classification , 2010, IEEE Transactions on Information Technology in Biomedicine.
[16] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[17] Alexander Gammerman,et al. Ridge Regression Learning Algorithm in Dual Variables , 1998, ICML.
[18] J.B. Theocharis,et al. Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.
[19] D. Fadare. The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria , 2010 .
[20] James F. Manwell,et al. Uncertainty Analysis in MCP-Based Wind Resource Assessment and Energy Production Estimation , 2008 .
[21] Jianzhou Wang,et al. A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China , 2014 .
[22] T. W. Lambert,et al. Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis , 2000 .
[23] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[24] Ioannis B. Theocharis,et al. A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation , 2007, Neurocomputing.
[25] M. Lange,et al. Physical Approach to Short-Term Wind Power Prediction , 2005 .
[26] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .
[27] Farid Melgani,et al. Semisupervised Gaussian process regression for biophysical parameter estimation , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[28] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[29] George Stavrakakis,et al. Wind power forecasting using advanced neural networks models , 1996 .
[30] Antonio J. Conejo,et al. A methodology to generate statistically dependent wind speed scenarios , 2010 .
[31] Serozhah Milashuk,et al. Wind speed prediction accuracy and expected errors of RANS equations in low relief inland terrain for wind resource assessment purposes , 2011, Environ. Model. Softw..
[32] Mohamed Mohandes,et al. Support vector machines for wind speed prediction , 2004 .
[33] M. Lange. On the Uncertainty of Wind Power Predictions—Analysis of the Forecast Accuracy and Statistical Distribution of Errors , 2005 .
[34] Jing Shi,et al. On comparing three artificial neural networks for wind speed forecasting , 2010 .
[35] Seyit Ahmet Akdağ,et al. A new method to estimate Weibull parameters for wind energy applications , 2009 .
[36] M. Obersteiner,et al. Forecasting electricity spot-prices using linear univariate time-series models , 2004 .
[37] Carlo Vercellis,et al. Kernel ridge regression for out-of-sample mapping in supervised manifold learning , 2012, Expert Syst. Appl..
[38] Farid Melgani,et al. Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[39] Ali Dinler. A new low-correlation MCP (measure-correlate-predict) method for wind energy forecasting , 2013 .
[40] Farid Melgani,et al. Support Vector Machine Active Learning Through Significance Space Construction , 2011, IEEE Geoscience and Remote Sensing Letters.
[41] Ervin Bossanyi,et al. Wind Energy Handbook , 2001 .
[42] A. Stambouli. Promotion of renewable energies in Algeria: Strategies and perspectives , 2011 .
[43] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .