References

• 2020Probabilistic forecasting with temporal convolutional neural network416 cited
• 2019Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors208 cited
• 2019Long-term forecast of energy commodities price using machine learning151 cited
• 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model135 cited
• 2021A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms122 cited
• 2019Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory100 cited
• 2019The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market93 cited
• 2018ARIMA forecasting of China’s coal consumption, price and investment by 203083 cited
• 2013Market-driven coal prices and state-administered electricity prices in China80 cited
• 2016Predicting chaotic coal prices using a multi-layer perceptron network model71 cited

Cited by

No citing works inside the corpus for this window.