姓名：王帅

专业技术职务：讲师

任导师情况：否

电子邮箱：vvs09061513@163.com

研究方向：金融风险管理；能源经济；机器学习

一、代表性学术论文(*表示通讯作者)

1.Shuai Wang, et al. Learning about tail risk: machine learning and combination with regularization in market risk management.Omega-International Journal of Management Science, 2024:103249.（SSCI，ABS3*，IF=7.2，校A1类）

2.王帅，王建州.基于复杂多维场景生成的M-CVaR-高阶矩投资组合研究.统计研究, 2024,41(12):136-150（CSSCI，校A1类）

3. Jianzhou Wang,Shuai Wang*, Bo Zeng, et al. A novel ensemble probabilistic forecasting system for uncertainty in wind speed.Applied Energy, 2022,313:118796.（SCI，中科院一区TOP，ESI高被引论文，IF=11.0，校A1类）

4. Dongxue Zhang,Shuai Wang*, et al. A novel combined model for probabilistic load forecasting based on deep learning and improved optimizer.Energy, 2023,264:126172.（SCI，中科院一区TOP，IF=9.4，校A2类）

5. Jianzhou Wang,Shuai Wang*, et al. Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis.Financial Innovation, 2024,10(1):36.（SSCI，中科院一区TOP，FMS-B，IF=7.2，校B类）

6. Jianzhou Wang,Shuai Wang*, et al. Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression.Renewable Energy, 2021,179:1246-1261.（SCI，中科院一区TOP，IF=9.1，校A2类）

7.Shuai Wang, et al.A novel combined model for wind speed prediction–Combination of linear model, shallow neural networks, and deep learning approaches.Energy,2021,234:121275.（SCI，中科院一区TOP，IF=9.4，校A2类）

二、科研项目（限5项）

1.大数据时代雾霾污染经济损失评估及防治对策研究，国家社会科学基金重大项目，2018/01—2022/12，参与.

2.基于卫星图像和多模态深度学习的光伏功率时空概率预测研究，国家自然科学基金面上项目，2024/08—，参与.