Machine Learning-based Energy Management And Power Forecasting In Grid-connected Microgrids With Multiple Distributed Energy Sources

This article explores the use of advanced machine learning algorithms, specifically Support Vector Regression, to enhance the efficiency and reliability of renewable energy microgrids. The proposed model demonstrated significantly lower error metrics and resulted in improved energy management efficiency and grid stability.