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Yuhong Lu | 卢昱宏
M.E. Student
Department of Electrical and Electronic Engineering
Tsinghua University
[ Google Scholar ]
[ Resume ]
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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
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