Short Bio.

I am currently pursuing my Master’s degree at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), where I also earned my Bachelor’s degree in Computer Science and Engineering. I am privileged to be supervised by Prof. Junhua Zhao also work closely with Dr. Huan Zhao and Prof. Gaoqi Liang.

My current research interests are at the nexus of smart grid technology, computer science, and optimization techniques. I am particularly interested in data-driven decision-making with its applications in the smart grid.

To achieve this, I employ methodologies such as reinforcement learning and optimization algorithms. The application scenarios of my research extend to electric vehicles, real-time optimal power flow, coupled power-transportation networks, and energy storage solutions.

I am currently looking for a 24 fall Ph.D. position. Please feel free to contact me if you are interested. I am also happy to make slides to introduce my previous research experience.

News

• [Nov. 9, 2023] Two paper are accepted in the EI2 2023 (The 7th IEEE Conference on Energy Internet and Energy System Integration). One is about joint strategic bidding using reinforcement learning. Another is about interzonal carbon emission minimization.
• [Oct. 16, 2023] One paper about risk estimation using quantum GAN and quantum amplitude estimation is submitted to Energy Conversion and Economics.
• [Oct. 15, 2023] Two paper are submitted to the EI2 2023 (The 7th IEEE Conference on Energy Internet and Energy System Integration). One is about joint strategic bidding using reinforcement learning. Another is about interzonal carbon emission minimization.
• [Sep. 24, 2023] One paper about electricity-carbon collaborative demand response of data centers is submitted to IEEE Transactions on Sustainable Energy.
• [Sep. 17, 2023] One paper about active power control for wind storage integrated system using reinforcement learning is submitted to IEEE Transactions on Smart Grid.
• [July 8 2023] One first-author paper about optimal power flow warm-start is accepted by International Journal of Electrical Power & Energy Systems.
• [May 14, 2023] One first-author paper about quantum machine learning is accepted by Quantum Machine Intelligence.
• [Jul. 29, 2022] Our project about quantum LSTM for carbon price forecasting received the National Second Prize in quantum financial track of CCF “Pilot Cup” Quantum Computing Programming Challenge.
• [Jul. 8, 2021] I gave a seminar talk “Machine Learning Applications for Optimal Power Flow” at Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS).

Publications

Services

Reviewers

• Energy Conversion and Economics
• EI2 2023 (The 7th IEEE Conference on Energy Internet and Energy System Integration)

Teaching

• Head TA, Statistical Genetics and Genomics, at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), 2023, Instructor: Prof. Jin Liu
• TA, Reading For Excellence in Economics and Finance, at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), 2018 & 2019, Instructor: Prof. Chak Wong

Contact

Address: 2001 Longxiang Boulevard, Longgang District, Shenzhen, Guangdong
Office Location: Chengdao Building 320B
Email: yujicao (at) link.cuhk.edu.cn
Phone: +86 (755)191-4793-0514

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