To overcome these challenges, this paper proposes a hybrid technique for efficient incorporation and management of hybrid PV and WTRESs in MGs, ensuring improved energy stability, reliability, and cost-effectiveness. The study provides a study on energy storage technologies for photovoltaic and wind systems in response to the growing demand for low-carbon transportation. Energy storage systems (ESSs) have become an emerging area of renewed interest as a critical factor in renewable energy systems. Machine Learning, artificial intelligence techniques and algorithms provide automated, intelligent and history-based solutions for complex. Large-scale introduction of variable renewable energy sources, energy storage and power-electronics components, all based on direct current (DC), is fundamentally changing the electrical energy system of today that is based on alternating current (AC).