Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters

Year : 2025 | Volume : 12 | Issue : 03 | Page : 66 74
    By

    Sapandeep Kaur Dhillon,

  • Ikvinderpal Singh,

  1. Assistant Professor, Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, India
  2. Assistant Professor, PG Department of Computer Science and Applications, Trai Shatabdi Guru Gobind Singh Khalsa College, Amritsar, Punjab, India

Abstract

In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity to revolutionize the conventional landscape of water management, conservation, and distribution. The synergy of these advanced technologies endows water meters with a newfound capability to transcend their traditional roles, becoming instrumental in addressing the pressing challenges of modern water resource management. Through the analysis of real-time data, these techniques enable efficient leak detection, anomaly detection, predictive maintenance, demand forecasting, usage analytics, and more. This study reviews the state-of-the-art computational intelligent techniques used in smart water meters, their advantages, challenges, and potential future developments in the field.

Keywords: Smart water meters, computational intelligent techniques, artificial intelligence, machine learning, water management, water conservation

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Sapandeep Kaur Dhillon, Ikvinderpal Singh. Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters. Journal of Artificial Intelligence Research & Advances. 2025; 12(03):66-74.
How to cite this URL:
Sapandeep Kaur Dhillon, Ikvinderpal Singh. Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters. Journal of Artificial Intelligence Research & Advances. 2025; 12(03):66-74. Available from: https://journals.stmjournals.com/joaira/article=2025/view=222934


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Regular Issue Subscription Original Research
Volume 12
Issue 03
Received 31/07/2025
Accepted 05/08/2025
Published 08/08/2025
Publication Time 8 Days
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