Improving short-term water demand forecasting with development of dynamic neural network models considering environmental and sociocultural features

International Journal of Environmental Science and Technology 2026

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Authors: Sh. Iranmehr, A. A. Moosavi, Siamak Kazemzadeh Hannani
DOI: 10.1007/s13762-025-06995-0
Cited by: 0
References: 36

Fields of Study & Subjects

Hydrological Forecasting Using AI Water resources management and optimization Forecasting Techniques and Applications

Publication details

Journal / source
International Journal of Environmental Science and Technology
Volume
23
Issue
4
Publication date
5 February 2026
Language
EN