CV

🎓 Education (教育背景)

• National University of Singapore (NUS)
  • Master of Science in Energy Systems
  • 2023 - 2024
  • Focus: Renewable Energy, Energy Systems
• Shanghai Jiao Tong University (SJTU)
  • Bachelor of Engineering in Biomedical Engineering
  • 2018 - 2022
  • Note: Transferred to Smart Energy Innovation Institute in 2022 for senior training (Focus: New Energy + AI)

💼 Work Experience (工作经历)

• Machine Learning Engineer

  GCL Group (协鑫集团)

  • 2025 - Present
  • Responsibilities:
    • Energy Optimization: Designed and implemented optimization scheduling strategies for Virtual Power Plants (VPP) and source-grid-load-storage systems.
    • Time Series Prediction: Developed high-precision models for power load forecasting and renewable energy (PV/Wind) generation prediction.
    • AI Applications: Led the development of “ChatData” (LLM-based data analysis platform) and smart meeting assistants.

• Algorithm Engineer Intern

  Trina Solar International Research Center (Singapore)

  • 2024 - 2025
  • Responsibilities:
    • Insight & Analysis: Conducted industry trend analysis and defined model development directions based on customer requirements.
    • Data Engineering: Managed data collection (PV, wind, load, price) for the Australian market; deployed cloud servers for data transmission; built cross-platform (Win/Linux) data pipelines.
    • Optimization: Evaluated performance of various solvers (Cplex, Gurobi, SCIP, GLPK) using Python/Julia.
    • Modeling: Developed optimization models using Pyomo to provide decision support for energy storage system scheduling.

🔬 Research Experience (科研经历)

• Research Assistant

  SJTU Smart Energy Innovation Institute (Liu Zuming Group)

  • 2021 - 2024
  • Focus: Photovoltaic power time series prediction using deep learning and spatiotemporal analysis.
  • Achievements: Published research in Energy and AI and multiple international conferences.

🛠️ Skills (技能专长)

• Programming & Tools: Python, PyTorch, TensorFlow, SQL, Git.
• Core Competencies: Machine Learning, Deep Learning, Time Series Forecasting, Mathematical Optimization, Large Language Models (LLM), Energy System Modeling.

💡 Patents & Softwares (专利与软著)

• 一种基于时间维度的电力价格预测方法、装置、设备及存储介质 (CN121120113A)
• 一种光伏发电功率预测方法及系统 (CN120069194A)
• 融合时空关系的太阳能光伏发电功率预测方法 (CN118569423A)
• 超参数自优化及结构自调整的超短期光伏输出预测方法 (CN117454934A)
• And several software copyrights (持有若干软件著作权).

📝 Publications (发表论文)

A novel spatiotemporal relation fused network for solar photovoltaic power forecasting

Z Liu, S Li, J Ding, Y Zheng, B Chen, Y He. (2026). "A novel spatiotemporal relation fused network for solar photovoltaic power forecasting." Energy and AI. 100676.

A novel spatiotemporal relation fused network for solar photovoltaic power prediction

L Tang, B Chen, Z Liu. (2025). "A novel spatiotemporal relation fused network for solar photovoltaic power prediction." IET Conference Proceedings. CP934, 107-111.

High-resolution Photovoltaic Power Prediction based on Dynamic Time Constants Residual Recurrent Neural Network

B Chen, H Jiang, Y Sheng. (2024). "High-resolution Photovoltaic Power Prediction based on Dynamic Time Constants Residual Recurrent Neural Network." 2024 4th International Conference on Energy, Power and Electrical Engineering (EPEE).

Optimal Transition Pathway of Power Systems for Guangdong-Hongkong-Macau Region in China

Y Zhao, L Tang, B Chen, Z Liu. (2024). "Optimal Transition Pathway of Power Systems for Guangdong-Hongkong-Macau Region in China." Energy. 2965.