Hello

I am a Ph.D. student at the University of Birmingham with a Master’s degree in Applied Statistics from North China Electric Power University. My academic experience bridges statistical theory and practical applications, particularly in machine learning and energy forecasting. My current research interests are broadly focused on local energy systems, aiming to explore innovative methodologies and practical solutions within this field.

My Story

EDUCATION
2024 - 2027 Ph.D. in Electrical engineering, University of Birmingham
2020 - 2023 M.S. in Applied Statistics, Institute of Data Science and Statistical Analysis, North China Electric Power University
2016 - 2020 B.Ec. in Financial Mathematics, School of Applied Mathematics, Shanxi University of Finance and Economics

PUBLICATIONS
Zhang Yagang, Zhang Jinghui, Yu Leyi, Pan Zhiya, Feng Changyou, Sun Yiqian, Wang Fei. A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique. Energy, 2022: 124378.
Zhang Jinghui, Shen Xiaoyu, Kong Chunhui, Zhang Yagang. Wind energy forecasting framework based on new perspective[C]//2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021: 1-6.
Zhang Yagang, Li Ruixuan, Zhang Jinghui. Optimization scheme of wind energy prediction based on artificial intelligence. Environmental Science and Pollution Research, 2021, 28(29): 39966-39981.

Contact

Feel free to reach out to me via email at jxz478@student.bham.ac.uk for any inquiries or collaborations.