Smart Management of Hybrid Renewable Energy Microgrids Using Artificial Intelligence

Hybrid forms of renewable energy microgrids have emerged as a promising solution in smart cities to develop sustainable forms of energy production. The problem with hybrid forms is the variability in the sources of energy, which creates issues in maintaining the consistency of the energy supply. The paper aims to introduce an AI-based solution to hybrid microgrids, with a focus on energy optimization and smart load balancing. The paper has compared conventional forms of energy management with AI-based models in terms of efficiency, flexibility, and speed. The paper has concluded that the integration of AI with hybrid forms of microgrids is beneficial in terms of energy production.