معرفی
Chenghao Huang is a Research Fellow in the Department of Data Science & AI at Monash University, pursuing a Doctorate by Research. His work focuses on integrating machine learning techniques with energy systems, particularly in smart grids, renewable energy optimization, and AI-driven solutions for energy management. He actively contributes to the UN Sustainable Development Goals related to affordable and clean energy.
Recent research emphasizes multi-agent reinforcement learning for EV charging stations, federated learning in electricity markets, and fraud detection in photovoltaic systems. His publications span conferences like IEEE Smart Cities and IEEE Power & Energy Society General Meeting. Collaborations include projects on energy disaggregation, weather factor fusion, and large foundation models for power systems.
No formal student advising or awards are explicitly listed, though his work demonstrates significant engagement with industry-relevant challenges in energy and AI.
