OPTIMIZATION OF WATER RESOURCES MANAGEMENT USING BIG DATA AND MACHINE LEARNING IN SMART CITIES
Akhayeva Z.B. Zakirova A.B. Zhmud V.A.
2024L.N. Gumilyov Eurasian National University
Eurasian Journal of Mathematical and Computer Applications
2024#12Issue 24 - 15 pp.
In the modern world, the concept of Smart Cities brings new challenges and opportunities for effective resource management and improving the quality of life of citizens. One of the key aspects of Smart Cities is the optimization of water resources management, especially in the context of growing urbanization and a changing climate. Working with big data plays a crucial role in this process, allowing you to analyze and predict water consumption with high accuracy and efficiency. This article examines current methods and technologies for working with big data in the context of predicting water consumption in Smart cities, their advantages and prospects for application in everyday life and urban resource management.
big data , forecasting , machine learning , Smart city , water consumption
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Astana International University, 8 Kabanbai batyra st., Astana, Kazakhstan
L.N. Gumilyov Eurasian National University, 2 Satbaev st., Astana, Kazakhstan
Novosibirsk State Technical University, 20 Prospekt K. Marksa, Novosibirsk, 630073, Russian Federation
Astana International University
L.N. Gumilyov Eurasian National University
Novosibirsk State Technical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026