AI-Driven Microgrid Solutions for Enhancing Energy Access and Reliability in Rural and Remote Areas: A Comprehensive Review

Faisal Ahmed, Asif Uzzaman, M. Ádám, Md. Monirul Islam, Md Moklesur Rahman, Asm Mohaimenul Islam · 2025 · Control Systems and Optimization Letters

Summary. AI-enhanced microgrids offer rural and remote areas a practical solution to unreliable energy access. Artificial intelligence optimizes load forecasting, renewable energy use, energy storage, and predictive maintenance, enabling stable power supply in resource-constrained regions. Case studies from the US, India, and Africa demonstrate improved living standards, though upfront costs and data infrastructure remain barriers to widespread adoption.

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Ahmed, F., Uzzaman, A., Ádám, M., Islam, M. M., Rahman, M. M., & Islam, A. M.. (2025). AI-Driven Microgrid Solutions for Enhancing Energy Access and Reliability in Rural and Remote Areas: A Comprehensive Review. Control Systems and Optimization Letters. https://doi.org/10.59247/csol.v3i1.183

@article{ahmed-2025-ai-driven-microgrid-solutions-enhancing,
  title   = {AI-Driven Microgrid Solutions for Enhancing Energy Access and Reliability in Rural and Remote Areas: A Comprehensive Review},
  author  = {Faisal Ahmed and Asif Uzzaman and M. Ádám and Md. Monirul Islam and Md Moklesur Rahman and Asm Mohaimenul Islam},
  journal = {Control Systems and Optimization Letters},
  year    = {2025},
  doi     = {10.59247/csol.v3i1.183},
  url     = {https://doi.org/10.59247/csol.v3i1.183}
}

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Details

DOI: 10.59247/csol.v3i1.183
Countries: United States, India
Regions: North America, Asia
Categories: energy, broadband-and-digital, general-innovation
Added: 2026-08-01