Real-Time Microgrid Energy Scheduling Using Meta-Reinforcement Learning — Project Overview
| Abstract |
This M.Tech Electrical Engineering topic focuses on Real-Time Microgrid Energy Scheduling Using Meta-Reinforcement Learning. It belongs to the Microgrid Energy Management 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 |
Real-Time Microgrid Energy Scheduling Using Meta-Reinforcement Learning |
| Year |
2024 |
| Domain |
Power Systems |
| Sub-Domain |
Microgrid Energy Management |
| PDF Download |
Download / View PDF |
| Get Help |
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