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Smart grid power load type forecasting: research on optimization methods of deep learning models

This M.Tech Electrical Engineering topic focuses on Smart grid power load type forecasting: research on optimization methods of deep learning models. It belongs to the Smart Grid area within Power Systems. The…

Smart Grid

Abstract	This M.Tech Electrical Engineering topic focuses on Smart grid power load type forecasting: research on optimization methods of deep learning models. It belongs to the Smart Grid area within Power Systems. The work is suitable for research topic selection, synopsis preparation, literature review, simulation planning, implementation design, result analysis, and dissertation documentation. Students can use this 2023-onward open-access research reference as the base paper and then customize the implementation using suitable datasets, MATLAB/Simulink, Python, power-system simulation tools, optimization methods, machine learning models, and performance metrics according to academic requirements.
Reference Paper	Smart grid power load type forecasting: research on optimization methods of deep learning models
Year	2023
Domain	Power Systems
Sub-Domain	Smart Grid
PDF Download	Download / View PDF
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