Wind power prediction using attention-based deep neural networks

This M.Tech Electrical Engineering topic focuses on Wind power prediction using attention-based deep neural networks. It belongs to the Wind Energy Systems area within Renewable Energy Systems. The work is suitable for…

Abstract	This M.Tech Electrical Engineering topic focuses on Wind power prediction using attention-based deep neural networks. 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	Wind power prediction using attention-based deep neural networks
Year	2024
Domain	Renewable Energy Systems
Sub-Domain	Wind Energy Systems
PDF / Source Link	Open Paper / PDF
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Wind power prediction using attention-based deep neural networks

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