OPTIMIZATION OF WATER RESOURCES MANAGEMENT USING BIG DATA AND MACHINE LEARNING IN SMART CITIES

被引:0
|
作者
Akhayeva, Zh. B. [1 ,2 ]
Zakirova, A. B. [2 ]
Zhmud, V. A. [3 ]
机构
[1] Astana Int Univ, 8 Kabanbai Batyra st, Astana, Kazakhstan
[2] LN Gumilyov Eurasian Natl Univ, 2 Satbaev St, Astana 100000, Kazakhstan
[3] Novosibirsk State Tech Univ, 20 Prospekt K Marksa, Novosibirsk 630073, Russia
关键词
big data; machine learning; forecasting; water consumption; Smart city; INTERNET; THINGS;
D O I
10.32523/2306-6172-2024-12-2-4-15
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页码:4 / 15
页数:12
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