S
Research Areas
Biography and Research Information
OverviewAI-generated summary
Saikot Hossain Dadon's research focuses on power systems, particularly exploring flexibility in scenarios with high renewable energy penetration. His work investigates the application of machine learning and deep reinforcement learning techniques for optimizing energy management within microgrids. Specifically, he has studied the scheduling of electric vehicle charging in solar-wind powered microgrids and energy purchase optimization for microgrid systems. Dadon has collaborated with researchers from Arkansas State University, including Md Mahmudul Hasan, Motinur Rahman, and Yagub Suleymanov, on shared publications. His recent publications include an overview of power system flexibility and studies on optimizing microgrid operations using advanced computational methods.
Metrics
- h-index: 1
- Publications: 4
- Citations: 36
Selected Publications
-
Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning (2025)
-
Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393 (2025)
-
Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning (2024)
-
An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios (2024)
Collaboration Network
Top Collaborators
Md. Motinur Rahman
Arkansas State University (US)
3 shared publications
- An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios
- Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Miao He
Texas Tech University (US)
2 shared publications
- An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios
- Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393
Michael Giesselmann
Texas Tech University (US)
2 shared publications
- An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios
- Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393
Md Mahmudul Hasan
Arkansas State University
2 shared publications
In database
- An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios
- Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393
Tahmid Tamrin Suki
Bangladesh University of Professionals (BD)
2 shared publications
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Motinur Rahman
Arkansas State University
1 shared publication
In database
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
Subrata Saha
Bangladesh Atomic Energy Commission (BD)
1 shared publication
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
Mahmudul Hasan
Arkansas State University (US)
1 shared publication
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
Md. Mahbub Alam
Bangladesh Atomic Energy Commission (BD)
1 shared publication
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning
Md Mahmudul Hasan
Arkansas State University (US)
1 shared publication
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning
Yagub Suleymanov
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
Similar Researchers
Based on overlapping research topics
Adrian De Luis
University of Arkansas at Fayetteville
Renewable Energy Integration
Machine Learning Applications
Advanced Neural Network Applications
Yagub Suleymanov
Arkansas State University
Renewable Energy Integration
Machine Learning Applications
Advanced Neural Network Applications
Shengyi Wang
University of Arkansas at Little Rock
Renewable Energy Integration
Machine Learning Applications
Advanced Neural Network Applications
Zijun Zhang
University of Arkansas for Medical Sciences
Renewable Energy Integration
Machine Learning Applications
Advanced Neural Network Applications
Antonio Gustavo Juárez Gracia
University of Arkansas at Fayetteville
Machine Learning Applications
Advanced Neural Network Applications
Photovoltaic System Reliability
R. H. Kiany
Arkansas Tech University
Renewable Energy Integration
Machine Learning Applications
Advanced Neural Network Applications