个人简历

教育背景
2012/09–2015/06 兰州大学，数学与统计学院，计算数学，博士
2013/12–2014/12 悉尼科技大学，工程与信息技术学院，联合培养博士
2009/09–2012/06 兰州大学，数学与统计学院，应用数学，硕士
2005/09–2009/06 兰州大学，数学与统计学院，信息与计算科学，学士

工作经历
2018/01至今 北京理工大学，管理与经济学院，助理教授（特别副研究员）
2015/07–2018/01 北京理工大学，管理与经济学院，博士后

研究领域

能源经济与政策、预测与数据分析、风速风电预测、机器学习等"课题情况
[1] 国家自然科学基金青年科学基金项目：适应风电功率复杂概念漂移的在线概率预测方法研究，2017-2019
[2] 中国博士后科学基金面上一等资助：基于概念漂移回归技术的风电功率自适应在线概率预测，2016-2017"

近期论文

代表性论文
[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] Weigang Zhao, Nan Wang, Suling Zhu, Xiuying Liu. GARCH Estimated by Evolutionary Programming and Its Application on Stock Return Volatility. Proceeding of 7th International Conference on System of Systems Engineering, 2012, 819-823.
[5] Zhenhai Guo, Weigang Zhao*, Haiyan Lu, Jianzhou Wang. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model. Renewable Energy, 37 (2012) 241-249.
[6] Ning An, Weigang Zhao*, Jianzhou Wang, Duo Shang, Erdong Zhao. Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting. Energy, 49 (2013) 279-288.
[7] Hongjie Wang, Weigang Zhao*. ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting. Lecture Notes in Computer Science, 2009, Volume 5855, Artificial Intelligence and Computational Intelligence, 48-58.
[8] Xiao-Chen Yuan, Xun Sun, Weigang Zhao, Zhifu Mi, Bing Wang, Yi-Ming Wei. Forecasting China’s regional energy demand by 2030: A Bayesian approach. Resources, Conservation and Recycling, 127 (2017) 85-95.
[9] Suling Zhu, Jianzhou Wang, Weigang Zhao, Jujie Wang. A seasonal hybrid procedure for electricity demand forecasting in China. Applied Energy, 88 (2011) 3807-3815.
[10] Jianzhou Wang, Suling Zhu, Weigang Zhao, Wenjin Zhu. Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm. Expert Systems with Applications, 38 (2011) 8151-8158.
[11] Jianzhou Wang, Ruiling Jia, Weigang Zhao, Jie Wu, Yao Dong. Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting. Chaos, Solitons & Fractals, 45 (2012) 1277-1287.
担任Omega、Applied Energy、Energy、Atmospheric Environment、IEEE Transactions on（Industrial Informatics、Cybernetics、Systems, Man, and Cybernetics: Systems）等20余种国际学术期刊匿名评审人