Water Demand Profiling Concepts and Techniques for Water Supply Systems

Authors: Tanay Kulkarni

DOI: https://doi.org/10.5281/zenodo.14900594

Short DOI: https://doi.org/g85ppv

Country: USA

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Abstract: Water demand profiling is an essential process in water supply management, enabling utilities to optimize resource allocation, enhance distribution efficiency, and improve sustainability. This review explores key concepts, methodologies, and technological advancements in water demand profiling, focusing on statistical and machine learning techniques, forecasting methods, and real-time monitoring systems. Emerging trends, including IoT-enabled smart networks and AI-driven predictive analytics, have revolutionized the ability to anticipate demand fluctuations and streamline water distribution. However, data limitations, outdated infrastructure, and cybersecurity threats pose significant obstacles. Integrating decentralized and centralized water systems presents complexities that necessitate adaptive management strategies to ensure resilience. To mitigate risks associated with technological adoption, investment in cybersecurity frameworks, smart infrastructure, and capacity building among utility personnel is crucial. By addressing these challenges and leveraging cutting-edge innovations, the future of water demand profiling promises improved forecasting accuracy, real-time decision-making, and enhanced sustainability. This comprehensive review provides insights into the evolving landscape of water demand management and offers strategic recommendations for optimizing water supply networks in response to dynamic consumption patterns.

Keywords: Water Demand Profiling, Water Supply Management, Forecasting Methods, Machine Learning, Iot, AI-Driven Analytics, Real-Time Monitoring, Decentralized Water Systems, Adaptive Management, Sustainability

Paper Id: 232155

Published On: 2021-12-07

Published In: Volume 9, Issue 6, November-December 2021

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