Machine learning for photovoltaic power prediction
| Abstract |
This M.Tech Electrical Engineering topic focuses on Solar photovoltaic power prediction using machine learning and deep learning techniques. 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 |
Solar photovoltaic power prediction using machine learning and deep learning techniques |
| Year |
2024 |
| Domain |
Renewable Energy Systems |
| Sub-Domain |
Solar PV Systems |
| PDF / Source Link |
Open Paper / PDF |
| Get Help |
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Related reading: Enhancing photovoltaic system performance using machine learning based power prediction
