References

• 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
• 1998Forecasting with artificial neural networks:4,225 cited
• 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
• 1983TIME SERIES ANALYSIS OF ERROR-CORRECTION MODELS327 cited
• 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
• 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
• 2010Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming267 cited
• 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines258 cited
• 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
• 2001A semiparametric approach to short-term oil price forecasting253 cited
• 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting204 cited
• 2018Oil price forecasting using a hybrid model176 cited
• 2013An improved wavelet–ARIMA approach for forecasting metal prices175 cited
• 2005Modeling and forecasting cointegrated relationships among heavy oil and product prices