References

• n.d.Forecasting principles and practice4,364 cited
• 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
• 2018Financial time series forecasting model based on CEEMDAN and LSTM712 cited
• 2022Carbon price forecasting based on CEEMDAN and LSTM424 cited
• 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
• 2021A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction364 cited
• 2018Text-based crude oil price forecasting: A deep learning approach305 cited
• 2014Forecasting the volatility of crude oil futures using intraday data263 cited
• 2018An Ensemble of LSTM Neural Networks for High-Frequency Stock Market Classification230 cited
• 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting204 cited
• 2020Stock Price Forecasting with Deep Learning: A Comparative Study183 cited
• 2023Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods180 cited
• 2020A new crude oil price forecasting model based on variational mode decomposition172 cited
• 2021Tourism demand forecasting with time series imaging: A deep learning model