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An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer

This M.Tech Electrical Engineering topic focuses on An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer. It belongs to the Smart Grid area within…

Smart Grid

Abstract	This M.Tech Electrical Engineering topic focuses on An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer. 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	An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer
Year	2025
Domain	Power Systems
Sub-Domain	Smart Grid
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