An analysis of India's Power Consumption by Machine learning With Smart Energy meters For Optimal Power Generation

The industrial sector of India has continuously expanded in tandem with the country's population expansion. As a result, the nation's energy consumption also increased dramatically. Such increases in energy use frequently need the ability to manage energy resources in a balanced and effective manner to the test. This study examines how machine learning (ML) techniques including Random Forest, Support Vector Machine, and Gradient Boosting Regressor affect energy usage patterns in commercial, residential, and agricultural sectors. Machine learning, enabled by smart energy meters and intelligent proactive analytics, has a tremendous impact on predicting energy demand and consumption trends. These solutions solve issues by enhancing resource management and reducing the waste of real-time data. This can help power generation firms generate power more efficiently, as well as identify potential future integration opportunities with renewable energy sources.