Hybrid deep learning for photovoltaic forecasting
| Abstract |
This M.Tech Electrical Engineering topic focuses on Photovoltaic power forecasting using hybrid deep learning architectures. It belongs to the Solar PV Systems 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 |
Photovoltaic power forecasting using hybrid deep learning architectures |
| Year |
2025 |
| Domain |
Renewable Energy Systems |
| Sub-Domain |
Solar PV Systems |
| PDF / Source Link |
Open Paper / PDF |
| Get Help |
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Related reading: Solar photovoltaic power prediction using machine learning and deep learning techniques
