Comprehensive Deep Learning-Based Analysis and Prediction of Water Usage Patterns in India

Abstract

Understanding and forecasting water use patterns in India might play a big part in resource management and sustainable development. The diverse climatic features in India, population density, agricultural practices, and the industrial demand contributed to very complicated water usage patterns across the country. In this study, we exploited the state-of-the-art machine learning and deep learning approaches to comprehensively analyze and model these water usage patterns. Using a rich set of datasets that define the socio-economic, climatic, and geographic context, the models are able to identify key drivers of water consumption and provide accurate predictions. The results of the study can be translated into information for policymakers and stakeholders to enable them to come up with targeted strategies for efficient water resource management and planning, therefore contributing to the sustainable development goals in the region.