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Biography and Research Information
OverviewAI-generated summary
Motinur Rahman's research activities are centered on the intersection of energy systems and machine learning. He has contributed to studies investigating the integration of renewable energy sources, specifically solar and wind power, into microgrids. His work includes exploring the application of machine learning techniques for optimizing the scheduling of electric vehicle charging within these microgrid environments. This research aims to enhance the efficiency and stability of energy distribution in systems that incorporate renewable energy and electric transportation. Rahman has also been involved in collaborations with researchers at Arkansas State University, including a shared publication with Saikot Hossain Dadon.
Metrics
- h-index: 1
- Publications: 1
- Citations: 2
Selected Publications
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Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning (2024)
Collaboration Network
Top Collaborators
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
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