MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122765 A) filed by Aditya Institute Of Technology And Management on October 13, 2026, for An Integrated System For Forecasting Domestic Water Demand And Water Supply Deficit.
Inventors include Krupasindhu Biswal; Dr. G. Prasanna Kumar; and G. Anil Kumar.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a machine-learning-based system (100) and method (200) for forecasting domestic water demand and supporting water-resource planning. The system (100) comprises a data input module (102) configured to receive population data (112), gross domestic product data (114), per capita income data (116), rainfall data (118), and historical domestic water-supply data (120), a data preprocessing module (104) configured 5 to process missing values and inconsistencies, a machine-learning module (106) configured to train a plurality of predictive models, a model evaluation module (108) configured to evaluate the predictive models using performance metrics including mean absolute error, root mean square error, mean square error, and coefficient of determination, and an output and 10 decision-support module (110) configured to generate future domestic water-demand forecasts. The plurality of predictive models may include Linear Regression, Support Vector Regression, Random Forest, and K-Nearest Neighbors, with a suitable predictive model being selected based on comparative performance. The predicted domestic water demand may further be compared with available or projected water supply to identify deficit or surplus 15 conditions and provide decision-support information for capacity planning, seasonal preparedness, conservation planning, resource allocation, and sustainable water-distribution management.
Disclaimer: Curated by HT Syndication.
