AI-Driven Microgrids: A Review of Enabling Technologies and Future Prospects

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Microgrids enable localized energy management, enhancing efficiency in integrating renewable energy sources.
AI technologies like machine learning facilitate improvements in load forecasting and energy scheduling for microgrids.
Operational challenges such as renewable intermittency and communication latency hinder microgrid effectiveness.
The review underscores collaboration between engineers and data scientists to translate AI into practical low-carbon microgrid solutions.

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Review highlights how AI enhances microgrids' efficiency and resilience, addressing challenges in energy management.

Lin et al. (2025) studied this question.

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