Hybrid deep learning for wind power forecasting
| Abstract |
This M.Tech Electrical Engineering topic focuses on Short-term wind power forecasting using hybrid deep learning model. It belongs to the Wind Energy 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 |
Short-term wind power forecasting using hybrid deep learning model |
| Year |
2024 |
| Domain |
Renewable Energy Systems |
| Sub-Domain |
Wind Energy Systems |
| PDF / Source Link |
Open Paper / PDF |
| Get Help |
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