AI Powered Renewable Load Sharing: A Sustainable Alternative to Fossil Fuel-Based System for Efficiency and Low Emissions

The increasing environmental concerns go hand in hand with an increase in the consumption of energy globally. It is high time to reduce dependence on fossil fuels. The project will measure the maximum possible generation capacity of wind and solar energy systems and their battery charging capabilities, as well as their impacts on grid demand. A renewable load-sharing system that uses AI with wind and solar energy will be developed to generate a viable alternative to traditional sources of energy. This will optimize the generation and distribution system through the absorption of all solar energy that can fall within the 12 V − 48 V range and available wind energy in the 24 V − 48 V range. In this respect, the dynamic balancing of supply and demand will be within the framework of AI to increase load distribution with a minimum loss of energy. In effect, the newly proposed system, the grid, could have real-time adjustments and forecasting analysis to achieve a stable supply. This consequently helps in reducing emissions of greenhouse gases and improving energy efficiency, which decreases dependence on fossil fuels and leaves a possibility for a low-carbon world in a sustainable future.