2026-10-15T09:11:23Z https://data.mendeley.com/oai

oai:data.mendeley.com/fsdf4f4yv5.2 2024-04-18T12:25:26Z

Wei, Anlei 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 Mendeley Data 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. Environmental Management Environment Protection Dataset doi:10.17632/fsdf4f4yv5.2 oai:data.mendeley.com/fsdf4f4yv5.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/fsdf4f4yv5 2024-04-18T12:25:26Z