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A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression

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References

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2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
2018Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China359 cited
2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
2008An econometric analysis of emission allowance prices327 cited
2019Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition309 cited
2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
2018A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting235 cited
2010Carbon price volatility: Evidence from EU ETS221 cited
2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
2020An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting202 cited
2020A novel text-based framework for forecasting agricultural futures using massive online news headlines

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179 cited

2012Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities170 cited

2018Carbon price forecasting with variational mode decomposition and optimal combined model142 cited

2019A hybrid VMD–BiGRU model for rubber futures time series forecasting140 cited

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2024A multiscale and multivariable differentiated learning for carbon price forecasting54 cited
2023A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory44 cited
2024A secondary decomposition-ensemble framework for interval carbon price forecasting43 cited
2023An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization32 cited