A.Prof. Weigang Zhao

Author:ceep    Source:ceep    Date:2015-09-05 Views:

 

 

 

A.Prof. Weigang Zhao

Ph.D., Associate Professor
Center for Energy & Environmental Policy Research (CEEP), Beijing Institute of Technology (BIT)
School of Management and Economics, Beijing Institute of Technology (BIT)

Address: No. 5 of ZhongGuanCun South Avenue, Beijing 100081, China
Tel.: +86-10-6891-8651
E-mail: zwgstd@gmail.com

 

Education


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.

 

Working Experience


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

 

Research Interests


Energy Economics, Energy Policy, Forecasting and Data Analysis, Wind Speed/Power Forecasting, Machine Learning.

 

Publications


[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.


 

Awards & Honors


[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


 

Research Grants


[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