A.Prof. Weigang Zhao
Ph.D., Associate Professor Center for Energy & Environmental Policy Research (CEEP), Beijing Institute of Technology (BIT) School of Management, Beijing Institute of Technology (BIT)
Address: No. 5 of Zhong Guan Cun South Avenue, Beijing 100081, China
Tel.: +86-10-6891-8651
E-mail: zwgstd@gmail.com
2015 Ph.D. in Computational Mathematics at Lanzhou University;
2012 M.S. in Applied Mathematics at Lanzhou University;
2009 B.S. in Information and Computing Science at Lanzhou University;
2013.12-2014.12 Visiting Scholar at FEIT, University of Technology Sydney (UTS), Australia.
2021.07-Current, Associate Professor, Center for Energy & Environmental Policy Research, School of Management and Economics, Beijing Institute of Technology, China
2018.01-2021/06, Assistant Professor, Center for Energy & Environmental Policy Research, School of Management and Economics, Beijing Institute of Technology, China
2015.07-2018.01, Post-doctoral Fellow, Center for Energy & Environmental Policy Research, School of Management and Economics, Beijing Institute of Technology, China
Energy Economics, Energy Policy, Forecasting and Data Analysis, Wind Speed/Power Forecasting, Machine Learning.
[1] Weigang Zhao, Yunfei Cao, Bo Miao, Ke Wang, Yi-Ming Wei. Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction. Energy Economics, 71 (2018) 359-369.
[2] Weigang Zhao, Yi-Ming Wei, Zhongyue Su. One day ahead wind speed forecasting: A resampling-based approach. Applied Energy, 178 (2016) 886-901.
[3] Weigang Zhao, Jianzhou Wang, Haiyan Lu. Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model. Omega, 45 (2014) 80-91.
[4] Zhenling Chen, Weigang Zhao*, Heyun Zheng. Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction. Energy Policy, 148 (2021) 111888.
[5] Jianming Hu, Weigang Zhao*, Jingwei Tang, Qingxi Luo. Integrating a softened multi-interval loss function into neural networks for wind power prediction. Applied Soft Computing, 113 (2021) 108009.
[1] First Prize of the 12th Young Scholars Symposium of School of Management and Economics in 2020
[2] Excellent Class Teacher in 2020
[3] Publons Peer Review Awards 2018: Top 1% of reviewers in Engineering
[4] Top Peer Reviewer 2019 Powered by Publons: Top 1% of reviewers in Engineering
[5] Top Peer Reviewer 2019 Powered by Publons: Top 1% of reviewers in Cross-Field
[6] Excellent Graduate Ph.D., 2015
[7] Honorable Mention in Mathematical Contest in Modeling (Adviser), Twice, 2011
[8] Second Prize of China and Grand Prize of Gansu Province Contest District in China Undergraduate Mathematical Contest in Modeling (Adviser), 2011
[9] Second Prize of China and Grand Prize of Gansu Province Contest District in China Undergraduate Mathematical Contest in Modeling (Adviser), 2010
[1] Natural Science Foundation of China, PI, 2021-2024
[2] Natural Science Foundation of China, PI, 2017-2019
[3] China Postdoctoral Science Foundation, PI, 2016-2017
