高宇阳（1991.03-），男，汉族，山西大同人，中共党员，经济学博士，8188www威尼斯讲师
研究方向：
时间序列预测理论研究及应用，人工智能优化算法，统计分析建模，数据挖掘与分析等。
教育及工作背景：
2023年至今，8188www威尼斯讲师
2019.03-2019.07 悉尼科技大学计算机科学学院人工智能中心访问学者
2015-2022 东北财经大学 统计学 经济学博士学位（硕博连读）
2011-2015 山西财经大学 统计学 经济学学士学位
代表性论文：
(1) Yuyang Gao, Jianzhou Wang*, Xiaobo Zhang, Ranran Li. Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability. Applied Soft Computing, 2022, 214, 109010. https://doi.org/10.1016/j.asoc.2022.109010. (IF: 8.26, SCI二区Top, JCR分区: Q1).
(2) Jianzhou Wang, Yuyang Gao*. An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting. Expert Systems with Applications, 2022, 198, 116934. https://doi.org/10.1016/j.eswa.2022.116934. (通讯作者，IF：8.67, SCI一区Top, JCR分区: Q1).
(3) Yuyang Gao, Jianzhou Wang*, HufangYang. A multi-component hybrid system based on predictability recognition and modified multi-objective optimization for ultra-short-term onshore wind speed forecasting. Renewable Energy, 2022, 188: 384-401. https://doi.org/10.1016/j.renene.2022.02.005. (IF: 8.63, SCI一区Top, JCR: Q1)
(4) Yuyang Gao, Chao Qu*, Kequan Zhang. A Hybrid Method Based on Singular Spectrum Analysis, Firefly Algorithm, and BP Neural Network for Short-Term Wind Speed Forecasting. Energies, 2016, 9(1-10):757. https://doi.org/10.3390/en9100757. (IF：3.252，SCI三区，JCR: Q3)
(5) Xiaobo Zhang, Jianzhou Wang*, Yuyang Gao. A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM. Energy Economics, 2019, 81: 899-913.(IF: 9.252, SSCI二区Top, JCR: Q1)
(6) Ping Jiang, Ranran Li*, Ningning Liu, Yuyang Gao. A novel composite electricity demand forecasting framework by data processing and optimized support vector machine. Applied Energy, 2020, 260: 114243.(IF: 11.45, SCI一区Top, JCR: Q1)
(7) Tongxiang Liu, QiujunZhao*, Jianzhou Wang, Yuyang Gao. A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations. Renewable Energy, 2021, 163: 88-104. (IF: 8.63, SCI一区Top, JCR: Q1)
期刊审稿：
现任Swarm and Evolutionary Computation, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Artificial Intelligence Review, IEEE knowledge and data engineering等SCI期刊审稿人。
科研项目：
[1]国家社科基金重大项目“大数据时代雾霾经济损失评估及防治对策研究”（17ZDA093），主要参与。
[2]国家自然科学基金，“大规模风电并网中风能资源评估与预测研究”（71671029），主要参与。
[3]辽宁省教育厅高等学校国(境)外培养项目“异常数据检测和数据挖掘的研究及在风能资源评估和预测领域中的应用”（2018LNGXGJWPY-ZD005），主要参与。
联系方式：
briangao0315@163.com; gaoyuyang0315@gmail.com
