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A novel decomposition integration model for power coal price forecasting · Study

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ArticleA novel decomposition integration model for power coal price forecasting

Siping Wu2023

Article2023

A novel decomposition integration model for power coal price forecasting

Siping Wu · Guilin Xia · Lang Liu

30 citations·0/0 files stored·Resources Policy

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Stock Market Forecasting Methods Forecasting Techniques and Applications Energy Load and Power Forecasting

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References

2020Probabilistic forecasting with temporal convolutional neural network 2019Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors 2019Long-term forecast of energy commodities price using machine learning 2020Multistep-ahead forecasting of coal prices using a hybrid deep learning model 2021A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms 2019Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory 2019The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market 2018ARIMA forecasting of China’s coal consumption, price and investment by 2030

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Year2023

Typearticle

Published2023-01-01

VenueResources Policy

ISSN-L0301-4207

Languageen

Citations30

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.resourpol.2022.103259

openalex_workW4313639882

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