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
相关论文
共 50 条
  • [21] The 1st ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities
    Dong, Bing
    Markovic, Romana
    Carlucci, Salvatore
    [J]. BUILDSYS'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILT ENVIRONMENTS, 2021, : 338 - 340
  • [22] Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities
    Alahakoon, Damminda
    Nawaratne, Rashmika
    Xu, Yan
    De Silva, Daswin
    Sivarajah, Uthayasankar
    Gupta, Bhumika
    [J]. INFORMATION SYSTEMS FRONTIERS, 2023, 25 (01) : 221 - 240
  • [23] Citizens Vote to Act: smart contracts for the management of water resources in smart cities
    Bracciali, Andrea
    Chatzigiannakis, Ioannis
    Vitaletti, Andrea
    Zecchini, Marco
    [J]. 2019 FIRST INTERNATIONAL CONFERENCE ON SOCIETAL AUTOMATION (SA), 2019,
  • [24] Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities
    Damminda Alahakoon
    Rashmika Nawaratne
    Yan Xu
    Daswin De Silva
    Uthayasankar Sivarajah
    Bhumika Gupta
    [J]. Information Systems Frontiers, 2023, 25 : 221 - 240
  • [25] Renewable Green Energy Resources for Next-Generation Smart Cities Using Big Data Analytics
    Zhu, Lingling
    Shi, Jie Fangi
    Shi, Yi Hai
    Xu, Hai Peng
    Shanthini, A.
    Seetharam, Tamizharasi G.
    [J]. JOURNAL OF INTERCONNECTION NETWORKS, 2022, 22 (SUPP01)
  • [26] Smart Cities' Big Data: Performance and Cost Optimization With Regional Computing
    Badshah, Afzal
    Daud, Ali
    Alhajlah, Mousa
    Alsahfi, Tariq
    Alshemaimri, Bader
    Ur-Rehman, Ghani
    [J]. IEEE ACCESS, 2024, 12 : 128896 - 128908
  • [27] Water Resources Balanced Scheduling Method Using Particle Swarm Optimization for Future Smart Cities
    Li, Pei
    Zhang, Hong
    Yue, Yanbing
    [J]. JOURNAL OF TESTING AND EVALUATION, 2023, 51 (03) : 1864 - 1876
  • [28] Intelligent management of bike sharing in smart cities using machine learning and Internet of Things
    Abdellaoui Alaoui, El Arbi
    Koumetio Tekouabou, Stephane Cedric
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2021, 67
  • [29] Real-Time Smart Traffic Management System for Smart Cities by Using Internet of Things and Big Data
    Rizwan, Patan
    Suresh, K.
    Babu, M. Rajasekhara
    [J]. IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGICAL TRENDS IN COMPUTING, COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICETT), 2016,
  • [30] Big Data Analytics for Smart Cities
    Cerquitelli, Tania
    Migliorini, Sara
    Chiusano, Silvia
    [J]. ELECTRONICS, 2021, 10 (12)