Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data — Project Overview
| Abstract |
This M.Tech Electrical Engineering topic focuses on Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data. 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 |
Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data |
| Year |
2024 |
| Domain |
Power Electronics |
| Sub-Domain |
Renewable Energy Converters |
| PDF Download |
Download / View PDF |
| Get Help |
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