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The document presents a study on an AI-powered renewable load-sharing system that aims to optimize the generation and distribution of energy from wind and solar sources, reducing reliance on fossil fuels. It discusses the integration of real-time monitoring and data analysis using Arduino and IoT technology to enhance energy efficiency and stability within the grid. The proposed system demonstrates a viable alternative for sustainable energy management, contributing to lower emissions and improved energy ut

Author

tsowmya.eee

Language

EN