| Title |
Optimization Of Water Resources Management Using Big Data And Machine Learning In Smart Cities |
| ID_Doc |
44003 |
| Authors |
Akhayeva, ZB; Zakirova, AB; Zhmud, VA |
| Title |
Optimization Of Water Resources Management Using Big Data And Machine Learning In Smart Cities |
| Year |
2024 |
| Published |
Eurasian Journal Of Mathematical And Computer Applications, 12, 2 |
| DOI |
10.32523/2306-6172-2024-12-2-4-15 |
| Abstract |
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. |
| Author Keywords |
big data; machine learning; forecasting; water consumption; Smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001272356700001 |
| WoS Category |
Mathematics, Interdisciplinary Applications |
| Research Area |
Mathematics |
| PDF |
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