PREDICTIVE ANALYTICS FOR SMART WATER MANAGEMENT: ENHANCING LEAK DETECTION AND DEMAND FORECASTING

ABSTRACT

Predictive analytics and machine learning are transforming water management by enhancing leak detection and demand forecasting. This paper presents an AI-driven approach to optimizing smart water distribution systems in India. By analyzing real-time data from IoT sensors, the system detects anomalies, predicts future consumption, and automates responses. A case study evaluates the impact of predictive models on reducing water loss and improving efficiency. Water scarcity and inefficient distribution are major challenges faced by urban and rural water management systems. Predictive analytics, powered by artificial intelligence (AI) and machine learning (ML), offers transformative solutions to enhance leak detection and demand forecasting. This article explores how predictive analytics can optimize water management by identifying leaks early and accurately forecasting water demand, thus reducing waste and improving efficiency. 

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