Robust Capacity Planning of Hydrogen-Based Remote Microgrids with a Co-Optimized Daily Service Window
Y. Mao, Y. Zhou, Q. Zhai, J. Zhao, X. Cao, L. Wu, and X. Guan, Applied Energy, vol. 426, art. 128686, 2026.
CV
Education
- Ph.D. in Control Science and Engineering, Xi’an Jiaotong University & Shanghai Innovation Institute, 2022 – Present
- B.E. in Automation, Xi’an Jiaotong University, 2018 – 2022
Work Experience
- Huawei Technologies, Terminal Device Memory Optimization Intern, 2024.07 – 2024.09
- Optimized memory parameters for 16G RAM devices using white-box proxy models for parameter space search.
- Improved performance testing frameworks to support memory trace capture and latency analysis.
- Meituan, Grid Warehouse Routing Optimization Intern (Meituan Youxuan), 2024.05 – 2024.07
- Developed a routing optimization algorithm using greedy clustering, reducing vehicle requirements by over 10%.
- Huawei Technologies, OpenHarmony Development Intern, 2023.07 – 2023.09
- Participated in OpenHarmony driver interface development and debugging.
Research Projects & Collaborations
- DCN Topology & Traffic Engineering (Huawei Collaboration) 2024.11 – 2025.03
- Designed the SSDO (Sequential Source-Destination Optimization) algorithm for fast routing in large-scale DCNs.
- Achieved 60%+ reduction in MLU compared to non-deep learning methods while maintaining significant speed advantages.
- AI Training GPU Mapping (Huawei Collaboration) 2024.09 – 2025.03
- Proposed a greedy clustering and integer programming method for collision-free mapping of logical and physical GPUs in Large Model training.
- Reduced computation time by over 95%, awarded as Huawei Excellent School-Enterprise Cooperation Project.
- Backbone Network Traffic Scheduling (Huawei Collaboration) 2023.05 – 2024.06
- Developed a fast orchestration algorithm for backbone networks with 10,000+ service flows.
- Achieved 98% orchestration rate and improved load balancing by 15% using Lagrangian relaxation.
Skills
- Research Domains
- AI Infrastructure (AI Infra)
- Data Center Networks (DCN): Traffic Engineering, Topology Engineering
- Power Systems: Microgrid Scheduling, Linear Power Flow Modeling
- Programming & Tools
- Languages: Python, C++, MATLAB
- Tools: Git, LaTeX, PyTorch
- Languages
- English (Professional working proficiency)
- Chinese (Native)
Honors & Awards
- Huawei Scholarship, 2025
- Best Oral Presentation Award, 5th International Conference on Frontiers of Energy and Environment Engineering (CFEEE), 2022
- Outstanding Undergraduate Graduation Thesis, Shaanxi Province, 2022
Publications
Talks
Data generation method for power system operation considering geographical correlations and actual operation characteristics
Oral Presentation (Best Oral Award) at 2022 1th International Conference on Frontiers of Energy and Environment Engineering (CFEEE 2022), Virtual (Online)