Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-22943-8.pdf
Reference44 articles.
1. Ahmad T, Chen H (2019) Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems. Sustain Cities Soc 45:460–473. https://doi.org/10.1016/j.scs.2018.12.013
2. Ahmad T, Chen H (2020) A review on machine learning forecasting growth trends and their real-time applications in different energy systems. Sustain Cities Soc 54:102010. https://doi.org/10.1016/j.scs.2019.102010
3. Alizadeh Z, Yazdi J, Kim JH, Al-Shamiri AK (2018) Assessment of machine learning techniques for monthly flow prediction. Water. 10(11):1676. https://doi.org/10.3390/w10111676
4. Bai T, Chang J, Chang F et al (2015) Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin. J Hydrol 523:758–767. https://doi.org/10.1016/j.jhydrol.2015.02.007
5. Cai X (2005) Risk in irrigation water supply and the effects on food production. J Am Water Resour Assoc 41(3):679–692. https://doi.org/10.1111/j.1752-1688.2005.tb03763.x
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