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IJSTR >> Volume 9 - Issue 12, December 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Water Consumption Prediction Challenges And Recent Research Directions

[Full Text]



Ahmed Abdelnasser, Sherif Hussein, Magdi Zakaria



Water resources management, Machine learning, Water quality, Internet of Things, Water supply and demand, Water pollution, and Land resources.



Recently, water-scarce resources became one of the most urgent problems that threaten the existence of the human species. In this paper, water consumption recent research directions were surveyed while the different challenges were discussed. The proper elements integration of any proposed system is a key success for the design to allow for the necessary expansion. That can enable the optimal management of water demand to reduce water consumption and improve water infrastructure utilization. A survey has been conducted to investigate the approaches and datasets involved in water resources management to shed light on the research directions in that vital field. The authors believe that it is of utmost importance to apply such integrated technologies of the Internet of Things, Machine Learning, Cloud Computing, and the emerging 5G technology to achieve the best possible water resources management performance.



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