This review examines critical areas such as reinforcement learning, multi-agent systems, predictive modeling, energy storage, and optimization algorithms—essential for improving microgrid efficiency and reliability. Abstract—A Microgrid is a subset of smart grid, a small-scale electrical system powered with renewable energy resources that can operate either in a connected or a disconnected mode to/from the main grid. This systematic review, conducted using the PRISMA methodology, analyzed 74 peer-reviewed articles from a total. Microgrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS)., data perception, information transmission, and real-time control. One of the initiatives is the Climate Neutral Data Centre (CNDC) Pact in Europe for a demand matched by 75 percent renewable by 2025 and carbon neutral data center by 2030.