Yuhong Lu

alt text 

Yuhong Lu | 卢昱宏

M.E. Student

Department of Electrical and Electronic Engineering

Tsinghua University

[ Google Scholar ] [ Resume ]

Research Interests

My research interests lie at the convergence of artificial intelligence, power systems, and economics, with a focus on enabling the low-carbon transition of the energy sector. Key areas include:

  • Learning and Control of Energy Dynamical Systems: Model-Based and Model-Free Reinforcement Learning; Model Predictive Control; Safe Learning-Based Control; Online and Offline Learning; Applications to Smart Grids, Buildings, and Distributed Energy Systems.

  • Reinforcement Learning for Reliable Energy Cyber-Physical Systems: Safe Reinforcement Learning; Offline and Online Reinforcement Learning; Markov Decision Processes; Multi-Agent Reinforcement Learning;

  • AI-Enabled Smart Buildings and Demand-Side Energy Systems: Home and Building Energy Management Systems; Human-Centric Energy Control; Demand Response; EV Charging and V2G Coordination; Adaptive Scheduling under Comfort, Cost, and Carbon Constraints.

  • Agentic and Physical AI for Energy Systems: Large Language Models for Energy Systems; Tool-Augmented AI Agents; Explainable and Verifiable AI; Human-AI Collaborative Decision-Making; AI-Driven Control for Decarbonized Energy Systems.

Recent News

  • 2025-11-05, Received the Tsinghua University Second Class Scholarship (Top 5%).

  • 2024-09-01, Started my M.E. program at Tsinghua University.

  • 2024-06-24, Graduated from Wuhan University as an Outstanding Bachelor's Graduate (Top 1%).

  • 2024-06-28, Awarded “Outstanding Undergraduate Thesis” (Top 1%) at Wuhan University.

Favorite Quotes

  • “Knowledge is power.” — Francis Bacon

  • “In skating over thin ice, our safety is in our speed.” — Ralph Waldo Emerson

Contact

  • Phone: (+86) 156-2356-1516

  • Email: lu-yh24@mails.tsinghua.edu.cn

  • Address: Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Shenzhen, Peoples R China

Visitors