Sustainable Water Management: A Regression-Based Approach to Predicting Demand and Distribution for an Indian Geography

Urban water management in developing nations has provided substantial challenges in achieving the sustainable goals required to meet the needs of the ever-growing population. Effective water management is critical for urban sustainability, particularly in developing Indian cities facing severe water shortages. Using data from Telangana's water management system for 2022, this research makes use of two widely practiced regression models to check the feasibility for certain Indian geographies. Evaluation of the performance of these models aims to identify the more suitable approach of the two, given that the dataset is characterized by variability in geography and consumption patterns. This study aims to provide data for water management facilities by predicting key metrics that can be expected based on historic datasets. The findings highlight the potential of advanced machine learning techniques in developing geographies for sustainable water management solutions. Furthermore, the paper draws attention to the challenges that can be posed by the fluctuating water data variability of Indian cities and advo-cates for integrating predictive analysis into water management practices.