Y
Research Areas
Biography and Research Information
OverviewAI-generated summary
Yagub Suleymanov's research focuses on the optimization of energy purchase for microgrid systems. His work investigates the application of deep-Q-learning, a machine learning technique, to enhance decision-making processes within these energy networks. Suleymanov has co-authored one publication with Saikot Hossain Dadon from Arkansas State University. His scholarly output includes one publication with a total of one citation, and an h-index of 1. Suleymanov is currently active in research.
Metrics
- h-index: 1
- Publications: 1
- Citations: 1
Selected Publications
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Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning (2025)
Collaboration Network
Top Collaborators
Md. Motinur Rahman
Arkansas State University (US)
1 shared publication
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Md Mahmudul Hasan
Arkansas State University (US)
1 shared publication
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Saikot Hossain Dadon
Arkansas State University
1 shared publication
In database
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Subrata Saha
Bangladesh Atomic Energy Commission (BD)
1 shared publication
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Tahmid Tamrin Suki
Bangladesh University of Professionals (BD)
1 shared publication
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Similar Researchers
Based on overlapping research topics
Adrian De Luis
University of Arkansas at Fayetteville
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Saikot Hossain Dadon
Arkansas State University
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R. H. Kiany
Arkansas Tech University
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Shengyi Wang
University of Arkansas at Little Rock
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Katerina Klimoska
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Leland C. Schrader
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