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Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data

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 MPPT Techniques area within Renewable…

MPPT Techniques

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 MPPT Techniques area within Renewable Energy Systems. The work is suitable for research topic selection, synopsis preparation, literature review, renewable-energy modelling, MATLAB/Simulink or Python-based simulation, controller design, optimization, forecasting, energy-management analysis, and dissertation documentation. Students can use this 2023-onward research reference as the base paper and then customize the implementation using suitable renewable source data, converter topology, MPPT strategy, storage model, grid-integration method, and performance metrics.
Reference Paper	Harnessing Deep Learning for Enhanced MPPT in Solar PV Systems: An LSTM Approach Using Real-World Data
Year	2024
Domain	Renewable Energy Systems
Sub-Domain	MPPT Techniques
PDF / Source Link	Open Paper / PDF
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