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Maximum power point tracking using unsupervised learning for photovoltaic systems

This M.Tech Electrical Engineering topic focuses on Maximum power point tracking using unsupervised learning for photovoltaic systems. It belongs to the Renewable Energy Converters area within Power Electronics. The work is suitable…

Renewable Energy Converters
Abstract This M.Tech Electrical Engineering topic focuses on Maximum power point tracking using unsupervised learning for photovoltaic systems. It belongs to the Renewable Energy Converters area within Power Electronics. The work is suitable for research topic selection, synopsis preparation, literature review, converter modelling, MATLAB/Simulink or Python-based simulation, control design, hardware-oriented discussion, result analysis, and dissertation documentation. Students can use this 2023-onward open-access research reference as the base paper and then customize the implementation using suitable converter topology, switching strategy, controller design, efficiency analysis, THD analysis, power-quality metrics, and application requirements.
Reference Paper Maximum power point tracking using unsupervised learning for photovoltaic systems
Year 2024
Domain Power Electronics
Sub-Domain Renewable Energy Converters
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