A Novel FD3 Framework for Carbon Emissions Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s10666-023-09918-w.pdf
Reference63 articles.
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2. Wen, J., Yang, J., Jiang, B., Song, H., & Wang, H. (2020). Big data driven marine environment information forecasting: A time series prediction network. IEEE Transactions on Fuzzy Systems, 29(1), 4–18. https://doi.org/10.1109/TFUZZ.2020.3012393
3. Zhang, W., Li, X., & Li, X. (2020). Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation. Measurement, 164, 108052. https://doi.org/10.1016/j.measurement.2020.108052
4. Guo, J., Lao, Z., Hou, M., Li, C., & Zhang, S. (2021). Mechanical fault time series prediction by using EFMSAE-LSTM neural network. Measurement, 173, 108566. https://doi.org/10.1016/j.measurement.2020.108566
5. Aiken, E. L., Nguyen, A. T., Viboud, C., & Santillana, M. (2021). Toward the use of neural networks for influenza prediction at multiple spatial resolutions. Science Advances, 7(25), 1237. https://doi.org/10.1126/sciadv.abb1237
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