Abstract: India, with its burgeoning population and rapidly developing economy, faces significant challenges in managing its natural fuel resources. The efficient utilization of natural fuels like coal, oil, and natural gas is crucial for sustainable development. This study aims to predict natural fuel consumption using advanced machine learning techniques, aiding policymakers and industry leaders in making informed decisions. The project involves collecting historical data on natural fuel consumption in India, preprocessing this data, and employing linear regression and K-Means clustering algorithms to predict future consumption and identify consumption patterns. This research is significant as it addresses the critical issue of energy management in India. By accurately predicting future fuel consumption and understanding consumption patterns this study can guide strategic planning and policy formulation, contributing to efficient resource allocation, energy security, and sustainable economic growth.

| DOI: 10.17148/IARJSET.2024.11774