Deep learning and smart energy-based lightweight urban power load forecasting model — Project Overview
| 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 |
| PDF Download |
Download / View PDF |
| Get Help |
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