Hu's Research Lab

Research Mission:

Dr. Yi Hu's lab, at Michigan Technological University, focuses on data-driven modeling, analytics, and computational intelligence for modern power systems. Our research addresses emerging challenges in grid operation, reliability, resilience, large-load integration, synthetic data generation, and power-system situational awareness.

News

• [May 2026] Our paper entitled "Generative AI for Open-Set Event Detection and Classification in Power Systems Using Synchrophasor Data" has been accepted by IEEE Transactions on Industrial Informatics. Thanks for the collaboration of Dr. Zheyuan Cheng from Danovo Energy Solutions.

• [Apr 2026] My first Ph.D. student joined my research group, welcome Cletus!

• [Feb 2026] WLUC TV6 quoted me, together with Prof. Trever Hassell and Prof. Wayne Weaver at MTU, in a story examining the feasibility of developing data centers in the Upper Peninsula, discussing energy demands, grid capacity, cooling considerations and battery storage systems. 

• [Jan 2026] I received my first external funding from Power System Engineering Research Center (PSERC), the project title is T-77: Characterizing Emerging Large Loads with LLM-Driven Models. The project period is August 1, 2026 to July 31, 2028.

• [Jan 2026] I am serving as the Publication Chair of North American Power Symposium (NAPS) 2026, the conference will be held by Michigan Tech on October 11-13, 2026.

• [Aug 2025] I started my new chapter as an Assistant Professor in the Department of ECE at Michigan Tech.