A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China

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To cite the provided dataset for building prediction models, please reference the following paper: Shi H, Wei A, Xu X, Zhu Y, Hu H, Tang S. A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China. J Environ Manage. 2024 Feb 14;352:120131. doi: 10.1016/j.jenvman.2024.120131. Epub 2024 Jan 23. PMID: 38266520. This dataset encompasses all essential data and code required for constructing prediction models, including CNN, LSTM, CNN-LSTM, CEEMDAN, Boosting, and GRU, as detailed in the referenced article.

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