AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling
Summary. Hybrid solar-wind systems can reliably power remote rural areas, but their intermittent nature reduces efficiency. This review examines AI-driven maximum power point tracking techniques—artificial neural networks, fuzzy logic control, and reinforcement learning—that optimize energy extraction in real time. Each approach has trade-offs in accuracy, computational demands, and training requirements. Practical implementation requires careful hardware selection and controller design. Simulation and testing confirm these AI methods significantly improve power extraction and system reliability for off-grid rural electrification.
Cite this article
Eze, V. H. U.. (2025). AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling. KIU journal of science engineering and technology. https://doi.org/10.59568/kjset-2025-4-1-25
Eze, Val Hyginus Udoka. “AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling.” KIU journal of science engineering and technology, 2025. https://doi.org/10.59568/kjset-2025-4-1-25.
Eze, Val Hyginus Udoka. 2025. “AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling.” KIU journal of science engineering and technology. https://doi.org/10.59568/kjset-2025-4-1-25.
@article{eze-2025-ai-advanced-mppt-optimized-hybrid,
title = {AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling},
author = {Val Hyginus Udoka Eze},
journal = {KIU journal of science engineering and technology},
year = {2025},
doi = {10.59568/kjset-2025-4-1-25},
url = {https://doi.org/10.59568/kjset-2025-4-1-25}
}
TY - JOUR TI - AI-advanced MPPT for optimized hybrid solar-wind energy harvesting in off-grid rural electrification: Fabrication and performance modeling AU - Val Hyginus Udoka Eze JO - KIU journal of science engineering and technology PY - 2025 DO - 10.59568/kjset-2025-4-1-25 UR - https://doi.org/10.59568/kjset-2025-4-1-25 ER -