Deep Reinforcement Learning Based Optimal Energy Management for Multi-energy Microgrid with Renewable Energy Uncertainty

This M.Tech Electrical Engineering topic focuses on Deep Reinforcement Learning Based Optimal Energy Management for Multi-energy Microgrid with Renewable Energy Uncertainty. It belongs to the Microgrid Energy Management area within Power Systems.…

Abstract	This M.Tech Electrical Engineering topic focuses on Deep Reinforcement Learning Based Optimal Energy Management for Multi-energy Microgrid with Renewable Energy Uncertainty. 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	Deep Reinforcement Learning Based Optimal Energy Management for Multi-energy Microgrid with Renewable Energy Uncertainty
Year	2023
Domain	Power Systems
Sub-Domain	Microgrid Energy Management
PDF Download	Download / View PDF
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Deep Reinforcement Learning Based Optimal Energy Management for Multi-energy Microgrid with Renewable Energy Uncertainty

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