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Carbon price forecasting based on secondary decomposition and feature screening

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References

2022Market incentives, carbon quota allocation and carbon emission reduction: Evidence from China's carbon trading pilot policy386 cited
2012Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model361 cited
2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
2019Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets290 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
2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
2019Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors208 cited
2018Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS198 cited
2020A hybrid framework for carbon trading price forecasting: The role of multiple influence factor183 cited
2018Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm181 cited
2015

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The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment

160 cited

2020A new secondary decomposition ensemble learning approach for carbon price forecasting147 cited

2020Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm144 cited

2020Carbon price forecasting with optimization prediction method based on unstructured combination128 cited

Cited by

2025Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors52 cited
2024Framework for multivariate carbon price forecasting: A novel hybrid model45 cited
2024A secondary decomposition-ensemble framework for interval carbon price forecasting43 cited
2023Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm38 cited
2024Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration30 cited
2024Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration28 cited