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Deep learning and smart energy-based lightweight urban power load forecasting model

This M.Tech Electrical Engineering topic focuses on Deep learning and smart energy-based lightweight urban power load forecasting model. It belongs to the Smart Grid area within Power Systems. The work is suitable…

Smart Grid

Abstract	This M.Tech Electrical Engineering topic focuses on Deep learning and smart energy-based lightweight urban power load forecasting model. 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	Deep learning and smart energy-based lightweight urban power load forecasting model
Year	2024
Domain	Power Systems
Sub-Domain	Smart Grid
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