Haochi Wu (吴浩驰)

Haochi Wu (吴浩驰)

University of Michigan, Zhejiang University

About me

Nice to meet you here!

I am Haochi Wu, a junior but passionate researcher working on a low-carbon energy system for the future!

I am currently a doctoral researcher and research associate in the ASSET Lab and Center for Sustainable Systems at the University of Michigan, working with Prof. Michael Craig. Meanwhile, I am a PhD student at Zhejiang University, and my supervisor is Prof. Mingyang Sun at Peking University.

I’m interested in the renewable transition of energy systems. I’m curious about how future energy systems mitigate and adapt to climate change. My research interest also includes macro energy systems, efficient data-driven energy system operation, and emerging energy conversion and management technologies.

I have some published articles and preprints (google scholar ). You can find my CV here: Haochi’s CV. If you are interested in my work, please feel free to contact me!

🔥 News

  • 2024.12:  🎉🎉 New Journal Paper on the impact of Bitcoin mining on the large-scale power system has been accepted by Engineering.
  • 2024.10:  🎉🎉 Three submissions have been accepted by the 2024 AGU in Washington, D.C., with an oral presentation on the effects of climate change on energy system (in the ‘Net Zero Emissions Energy Systems’ session).
  • 2024.08:  🎉🎉 I am honored to have been selected as new MES Fellow by Macro Energy Systems commitee!
  • 2024.07:  🎉🎉 New Journal Paper on adaptive virtual power plant based on multi-agent reinforcement learning has been accepted by Applied Energy.

📝 Journal and Conference

in-progress

  • H. Wu, Q. Kong, M. Huber, et al. “Climate Change Will Increase High Temperature Risks, Degradation, and Costs of Rooftop Photovoltaics Globally”, in Joule, Under Revision.

  • H. Wu, M. Sun, M. Craig. “Updating Global Green Hydrogen Production Costs and Configurations under Future Climates”, in Energy & Environmental Science, Under Review

  • L. Zhang, H. Wu, X. Wan, et al. “SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance”, preprint on arxiv.2410.18626.

  • Y. Quan, H. Wu, et al. “PrivLoad: Privacy-preserving Load Profiles Synthesis Based on Diffusion Models”, in IEEE Transactions on Smart Grid, Under Revision.

publication

  • H. Wu, J. Wang, F. Teng, et al. “Tracking Bitcoin-Induced Carbon Trajectory in China Via Refined Spatiotemporal Assessment”, in Engineering, Accepted.

  • H. Wu, D. Qiu, L. Zhang, M. Sun, (2024). “Adaptive Multi-Agent Reinforcement Learning for Flexible Resource Management in a Virtual Power Plant with Dynamic Participating Multi-Energy Buildings”, Applied Energy 374, 123998.

  • H. Wu, M. Craig. “Mitigating Thermal Risk in Buildings during Weather Related Resource Adequacy Failures with Grid-Scale Energy Storage”, Accepted in International Symposium on Sustainable Systems and Technology (ISSST) 2024, Baltimore, Maryland.

  • H. Wu, M. Craig. “Climate Change Will Increase Costs of Rooftop Photovoltaics Globally”, Accepted as lightning talk in Macro Energy System Workshop (MES) 2024, Princeton University, NJ.

  • J. Meng, H. Wu, T. Wang, et al. (2021). “A novel super-cooling enhancement method for a two-stage thermoelectric cooler using integrated triangular-square current pulses”, Energy, 217, 119360.

  • T. Wang, H. Wu, J. Meng, et al. (2020). “Optimization of a double-layered microchannel heat sink with semi-porous-ribs by multi-objective genetic algorithm”, International Journal of Heat and Mass Transfer, 149, 119217.

  • J. Meng, H. Wu, T. Wang, et al. (2020). “Thermal management of a flexible controlled thermoelectric energy conversion-utilization system using a multi-objective optimization”, Applied Thermal Engineering, 179, 115721.

🎖 Honors and Awards

📖 Educations

  • Sept 2023 – May 2025, Ph.D. Candidate in Control Science and Engineering at Zhejiang University, College of Control Science and Engineering
    • Supervisor: Prof. Mingyang Sun, Research Professor at Peking University, Honorary Lecturer at Imperial College London
    • Visiting doctoral researcher at University of Michigan, Ann Arbor, UM-Center for Sustainable Systems. Supervisor: Prof. Michael Craig
  • Sept 2020 – May 2023, M.Sc at Zhejiang University, College of Control Science and Engineering
    • Recommended as an exam-free student to the graduate school
  • Sept 2016 – May 2020, B.Eng. at North China Electric Power University, School of Control and Computer Engineering
    • Grade 92.3, Rankings 4/123

🔬 Research Projects

  • Sept 2023 – May 2025, University of Michigan
    • Making Decarbonization of the Electric Power Sector Robust to Climate Change
    • Role: contribute to sub-research project modelling and manuscript writing
    • NSF CAREER: CAS- Climate: PI: Prof. Michael Craig
  • Sept 2020 – May 2023, Zhejiang University
    • Data-driven Optimization of Energy Systems from the Perspectives of Information, Physics and Society
    • Role: contribute to sub-research project modelling and manuscript writing
    • NSFC joint program with Netherlands: PI: Prof. Mingyang Sun

🛠 Skills and Courses

Related Courses: Scientific Programming, Energy System Modeling, Power System Economics, Convex Optimization, Machine Learning, Earth and Climate Science

Programming: Python, Julia, Matlab/Simulink, Git, LaTeX, C, C++