DOAJ Open Access 2025

Artificial Intelligence for Optimal Water Resource Management: A Literature Review

Wissal Ed-Dehbi Mustapha Ahlaqqach Jamal Benhra

Abstrak

This review investigates the application of Artificial Intelligence (AI), deep learning (DL), and the Internet of Things (IoT) in water resource management, focusing on distribution optimization, demand prediction, and water quality enhancement. The study synthesizes findings from 2015 to 2024, encompassing experimental and applied research published in English or French in recognized scientific outlets. By analyzing the prevalent algorithms, IoT technologies, and their impacts, this systematic review highlights research gaps and proposes directions for future work. The results show significant advancements in predictive analytics and real-time monitoring through AI and the IoT. However, challenges remain in scalability, interdisciplinary integration, and contextual adaptation.

Penulis (3)

W

Wissal Ed-Dehbi

M

Mustapha Ahlaqqach

J

Jamal Benhra

Format Sitasi

Ed-Dehbi, W., Ahlaqqach, M., Benhra, J. (2025). Artificial Intelligence for Optimal Water Resource Management: A Literature Review. https://doi.org/10.3390/engproc2025097052

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/engproc2025097052
Akses
Open Access ✓