One day ahead wind speed forecasting: A resampling-based approach
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[1] Robert P. Broadwater,et al. Current status and future advances for wind speed and power forecasting , 2014 .
[2] Riccardo Burlon,et al. Stochastic models for wind speed forecasting , 2011 .
[3] Alfredo Vaccaro,et al. An adaptive framework based on multi-model data fusion for one-day-ahead wind power forecasting , 2011 .
[4] S. Watson,et al. Short-term prediction of local wind conditions , 1994 .
[5] E.F. El-Saadany,et al. One Day Ahead Prediction of Wind Speed and Direction , 2008, IEEE Transactions on Energy Conversion.
[6] Paras Mandal,et al. A review of wind power and wind speed forecasting methods with different time horizons , 2010, North American Power Symposium 2010.
[7] Athanasios Sfetsos,et al. A comparison of various forecasting techniques applied to mean hourly wind speed time series , 2000 .
[8] J. Kiefer,et al. Sequential minimax search for a maximum , 1953 .
[9] Hui Liu,et al. Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks , 2015 .
[10] Jing Shi,et al. On comparing three artificial neural networks for wind speed forecasting , 2010 .
[11] Nam-Ho Kyong,et al. Subsystem level fault diagnosis of a building's air-handling unit using general regression neural networks , 2004 .
[12] Ángel M. Pérez-Bellido,et al. Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction , 2009 .
[13] Hui Liu,et al. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks , 2013 .
[14] Mikhail Kanevski,et al. Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks , 2013 .
[15] Jie Yu,et al. Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach , 2014 .
[16] Jianzhou Wang,et al. Performance analysis of four modified approaches for wind speed forecasting , 2012 .
[17] Juan José González de la Rosa,et al. Exogenous Measurements from Basic Meteorological Stations for Wind Speed Forecasting , 2013 .
[18] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[19] Farshid Keynia,et al. Short-term wind power forecasting using ridgelet neural network , 2011 .
[20] Nabil Benoudjit,et al. Multiple architecture system for wind speed prediction , 2011 .
[21] Pedro Antonio Gutiérrez,et al. Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms , 2012, Neural Computing and Applications.
[22] Hui Liu,et al. Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction , 2012 .
[23] J. Torres,et al. Forecast of hourly average wind speed with ARMA models in Navarre (Spain) , 2005 .
[24] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[25] Ergin Erdem,et al. ARMA based approaches for forecasting the tuple of wind speed and direction , 2011 .
[26] Jing Zhao,et al. An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed , 2016 .
[27] Jianzhou Wang,et al. The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China , 2015 .
[28] Ning An,et al. Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting , 2013 .
[29] Jianzhou Wang,et al. Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China , 2015 .
[30] F. Cassola,et al. Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output , 2012 .
[31] Jianzhou Wang,et al. A corrected hybrid approach for wind speed prediction in Hexi Corridor of China , 2011 .
[32] Jianzhou Wang,et al. Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China , 2013 .
[33] Akin Tascikaraoglu,et al. A review of combined approaches for prediction of short-term wind speed and power , 2014 .
[34] Haiyan Lu,et al. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model , 2012 .
[35] Kameshwar Poolla,et al. Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform , 2016 .
[36] Juan José González de la Rosa,et al. Regional wind monitoring system based on multiple sensor networks: A crowdsourcing preliminary test , 2014 .
[37] Sungmoon Jung,et al. Weighted error functions in artificial neural networks for improved wind energy potential estimation , 2013 .
[38] Gianluca Bontempi,et al. Conditionally dependent strategies for multiple-step-ahead prediction in local learning , 2011 .
[39] Haiyan Lu,et al. A case study on a hybrid wind speed forecasting method using BP neural network , 2011, Knowl. Based Syst..
[40] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[41] Zijun Zhang,et al. Short-term wind speed forecasting with Markov-switching model , 2014 .
[42] Peter Tiño,et al. Learning long-term dependencies in NARX recurrent neural networks , 1996, IEEE Trans. Neural Networks.
[43] Ajit Achuthan,et al. Recursive wind speed forecasting based on Hammerstein Auto-Regressive model , 2015 .
[44] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[45] Jaesung Jung,et al. A frequency domain approach to characterize and analyze wind speed patterns , 2013 .
[46] Ioannis B. Theocharis,et al. Locally recurrent neural networks for long-term wind speed and power prediction , 2006, Neurocomputing.
[47] A. Louche,et al. Forecasting and simulating wind speed in Corsica by using an autoregressive model , 2003 .
[48] R. Kavasseri,et al. Day-ahead wind speed forecasting using f-ARIMA models , 2009 .
[49] J.B. Theocharis,et al. Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.