Truong Hoang Bao Huy ☕️
Truong Hoang Bao Huy

PhD Candidate

Soonchunhyang University

About Me

I am currently a PhD Candidate in the Department of Future Convergence Technology at Soonchunhyang University. My research focuses on addressing challenges in modern power and energy systems, particularly in energy-related modeling, forecasting, and optimization. I have a strong emphasis on integrating renewable energy sources (e.g., wind, solar, and hydrogen) and flexible resources (e.g., energy storage systems and electric vehicles) to reduce operating costs and facilitate the transition to a low-carbon future.

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Interests
  • Power & Energy Systems
  • Power System Optimization
  • AI Applications in Energy
  • Energy Management
  • Renewable Energy Integration
Education

  • PhD in Future Convergence Technology

    Soonchunhyang University

  • MSc in Electrical & Electronics Engineering

    Universiti Teknologi Petronas

  • BEng in Electrical & Electronics Engineering

    Ho Chi Minh City University of Technology, VNU-HCM

📚 My Research

My research is driven by interdisciplinary approaches that exploit synergies between artificial intelligence, data science, and multi-energy systems. I am particularly interested in the interaction and integration of electricity with other energy forms such as heat, cooling, gas, and hydrogen.

Please reach out to collaborate 😃

Featured Publications
Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning
Real-time power scheduling for an isolated microgrid with renewable energy and energy storage system via a supervised-learning-based strategy
Recent Publications
Truong Hoang Bao Huy, Nguyen Thanh Minh Duy, Pham Van Phu, Tien-Dat Le, Seongkeun Park, Daehee Kim (2024). Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning. Applied Energy, 373.
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Pham Van Phu, Truong Hoang Bao Huy, Seongkeun Park, Daehee Kim (2024). An IGDT approach for the multi-objective framework of integrated energy hub with renewable energy sources, hybrid energy storage systems, and biomass-to-hydrogen technology. Journal of Energy Storage, 89.
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Truong Hoang Bao Huy, Tien-Dat Le, Pham Van Phu, Seongkeun Park, Daehee Kim (2024). Real-time power scheduling for an isolated microgrid with renewable energy and energy storage system via a supervised-learning-based strategy. Journal of Energy Storage, 88.
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Truong Hoang Bao Huy, Dieu Ngoc Vo, Khai Phuc Nguyen, Viet Quoc Huynh, Minh Quang Huynh, Khoa Hoang Truong (2024). Short-Term Load Forecasting in Power System Using CNN-LSTM Neural Network. In 2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM).
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Truong Hoang Bao Huy, Hien Thanh Doan, Dieu Ngoc Vo, Kyu-Haeng Lee, Daehee Kim (2023). Multi-objective optimal power flow of thermal-wind-solar power system using an adaptive geometry estimation based multi-objective differential evolution. Applied Soft Computing Journal, 149.
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