I am currently pursuing a master’s degree in Renewable Energy and Clean Energy at North China Electric Power University (NCEPU), where I also completed my undergraduate studies in New Energy Science and Engineering. My main focus during my undergraduate studies is wind power generation, and I am fortunate to secure a recommendation for graduate study based on my top-ranked comprehensive performance.

Under the guidance of Prof. Yan Jie, my current research focuses on the application of deep learning in power systems, particularly in the wind power forecasting(WPF). My research is dedicated to addressing the challenge of multi-source data fusion for source and load forecasting. In the information age, where data is increasingly important, my work aims to explore how to share data information while protecting data privacy, which is significant for improving the effectiveness of deep learning models. This is especially relevant in future power markets, where the coupling modeling of household electricity consumption, distributed photovoltaic power generation, and centralized wind and solar power stations in cities inevitably involves data privacy issues. Specifically, I am exploring a universal deep learning framework that implements integrated modeling of renewable energy combined with load, especially flexible load, through techniques such as federated learning, differential privacy, and homomorphic encryption.

You can find my CV/Resume here: CV(2024)

🔴 I’m on the lookout for the perfect job that will allow me to unlock my full potential and truly make a difference.

Education

Master of Renewable Energy and Clean Energy | Seq. 2022 - Present
School of New Energy, North China Electric Power University, Average Scores: 86.4/100

Bachelor of New Energy Science and Engineering | Sep. 2018 - June 2022
School of New Energy, North China Electric Power University, Average Scores: 89.59/100 Ranking 1/67

Awards

• 2023.09 - Outstanding Graduate Student, Outstanding Class Leader
• 2023.09 - The First Prize Academic Scholarship
• 2022.09 - Xiehe New Energy First Prize Academic Scholarship for Graduate Entrance
• 2022.09 - First Prize Academic Scholarship for Graduate Entrance
• 2021.08 - National First Prize in the 4th China Renewable Energy Society College Student Outstanding Science and Technology Works Competition
• 2021.08 - National First Prize in the 14th National University Student Social Practice and Science Contest on Energy Saving and Emission Reduction and Technology Competition
• 2020.12 - School-level Outstanding Student
• 2020.12 - Xiehe New Energy First Prize Academic Scholarship
• 2020.12 - The First Prize Academic Scholarship

News

2023.11 IEEE Sustainable Power and Energy Conference (iSPEC 2023)

I am very pleased to report my paper on the prediction of icing in wind turbine.

2023.10 Business Trip Record

Took some time off to relax with classmates in the evening. During the day, we debugged our power prediction system.

2023.07 Business Trip Record

Went to the Inner Mongolia Autonomous Region in China to visit a grassland scenery energy storage station and deploy a wind power prediction system.