Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm
暂无分享,去创建一个
[1] B. K. Panigrahi,et al. A hybrid wavelet-ELM based short term price forecasting for electricity markets , 2014 .
[2] Sirigiri Sivanagaraju,et al. Short Term Wind Speed Forecasting using Hybrid ELM Approach , 2017 .
[3] S. Byun,et al. Forecasting carbon futures volatility using GARCH models with energy volatilities , 2013 .
[4] Wei Yiming,et al. Carbon price prediction based on integration of GMDH,particle swarm optimization and least squares support vector machines , 2011 .
[5] Andrew Lewis,et al. The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..
[6] Yung-Hung Wang,et al. On the computational complexity of the empirical mode decomposition algorithm , 2014 .
[7] Ali Akbar Abdoos,et al. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting , 2016, Neurocomputing.
[8] Hui Liu,et al. Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions , 2015 .
[9] Xuezhi Zhao,et al. Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock , 2011 .
[10] Yonghui Sun,et al. A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks , 2016 .
[11] Song Li,et al. Short-term load forecasting by wavelet transform and evolutionary extreme learning machine , 2015 .
[12] Ming-Tang Tsai,et al. A Forecasting System of Carbon Price in the Carbon Trading Markets Using Artificial Neural Network , 2013 .
[13] Yi-Ming Wei,et al. Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology , 2013 .
[14] Yi-Ming Wei,et al. An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect , 2010 .
[15] C. Granger,et al. Forecasting Volatility in Financial Markets: A Review , 2003 .
[16] Tao Zhang,et al. Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression , 2017 .
[17] Z. Tan,et al. Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models , 2010 .
[18] Lei Wu,et al. Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method , 2016 .
[19] Song Li,et al. An ensemble approach for short-term load forecasting by extreme learning machine , 2016 .
[20] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[21] Mei Sun,et al. How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price , 2018 .
[22] Nazih M. Abu-Shikhah,et al. Medium-term electric load forecasting using singular value decomposition , 2011 .
[23] Wei Li,et al. The research on setting a unified interval of carbon price benchmark in the national carbon trading market of China , 2015 .
[24] Wei Sun,et al. Factor analysis and forecasting of CO2 emissions in Hebei, using extreme learning machine based on particle swarm optimization , 2017 .
[25] Wei Sun,et al. Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China , 2016 .