Industrial water consumption forecasting based on combined CEEMD-ARIMA model for Henan province, central chain: A case study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10149-x.pdf
Reference24 articles.
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3. Gao, S., Yu, H., Ren, C., Liu, L., & Min (2021). Assimilation of Doppler radar data with an ensemble 3DEnVar approach to improve convective forecasting. Advances in Atmospheric Sciences, 38(1), 132–146.
4. Guo, W., Liu, T., & Dai, F. (2019). An improved whale optimization algorithm for forecasting water resources demand. Applied Soft Computing, 86, 105925.
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