MR
Md. Motinur Rahman
Research areas: Energy · Renewable Energy, Sustainability and the Environment · Power Systems and Renewable Energy · TiO2 Photocatalysis and Solar Cells · Advanced Photocatalysis Techniques
0000-0003-0886-6725
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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Design and Development of a Smart Grid for Energy Conservation Ministry of science and Technology2018 - 2019
Publications (24)
- Design and Development of Perovskite Materials Using Machine Learning Techniques Save
- Correction: Rahman et al. An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios. Energies 2024, 17, 6393 Save
- AI-Driven Insights: Predicting Systems Engineering Skills with Machine Learning Algorithms Save
- Energy Purchase Optimization for Microgrid Systems Using Deep-Q-Learning Save
- Harnessing the potential of RbPbBr3 halide perovskite solar cells using C6TBTAPH2 as hole transport layer: A numerical analysis Save
- Optimizing Voltage and Frequency Stability in Renewable Microgrids Using Reinforcement Learning Save
- Reintroducing Rotational Inertia in Microgrids: Stability Enhancement Using BLDC and Synchronous Generator Save
- An Overview of Power System Flexibility: High Renewable Energy Penetration Scenarios Save
- Influence of stacking sequences of woven jute-carbon hybrid composites: Diffusion mechanism and mechanical characterization Save
- Detailed Operation Procedure and Precautions During Handling of the SEM Device at the Institute of Electronics Save
- Machine Learning-based Wind Power Prediction for Electric Vehicle Charging Hour Optimization Save
- Breast Cancer Patient Survival Prediction Using Machine Learning on An Imbalanced Dataset Save
- Heart Disease Prediction Using Machine Learning Algorithms: Performance Analysis Save
- Machine Learning-Based Wind Power Prediction for Electric Vehicle Charging Hour Optimization Save
- Scheduling of Electric Vehicle Charging in a Solar-Wind Powered Microgrid Using Machine Learning Save
- Sky Fruit Seed Crush (SFSC): A Potential Source of less Salt Curing of Raw Goatskin Save
- The efficacy of rare-earth doped V2O5 photocatalyst for removal of pollutants from industrial wastewater Save
- Bengali Cyberbullying Detection in Social Media Using Machine Learning Algorithms Save
- Enhancement of photocatalytic performance of V2O5 by rare-earth ions doping, synthesized by facile hydrothermal technique Save
- Sky Fruit Seed Crush (SFSC): A potential Source of less Salt Curing of Raw Goatskin Save