教育背景：

2009.09-2014.07，浙江大学，工学博士；
2005.09-2009.07，山东大学，工学学士。

工作履历：

2014至今，深圳大学，讲师，副研究员，副教授，研究员；
2011-2014，香港理工大学，研究助理；
本人团队现有博士后多人，硕士生10人。
指导硕士生：
交通运输专业：
2016级：李海荣（广发银行金融中心就业）
2017级：高羿晨（浙江交工），杨嬿蓉（比亚迪），李佩玲（格力），纪昕雨，杨铃铃（广州港务局港航发展研究中心）；
2018级：邝燊琅（交通运输部南海航海保障中心），简宇程，钟鑫祥，陈洪松（宁德时代）。
自动化专业：
2019级：魏翔（香港理工大学读博），陈逸翔（中国电信广东省公司），李志勇（华为），许李天伦（大族激光）
2020级：黄文嘉（美团算法），王庆伦（万科算法），周成昊（比亚迪），何玉琴（比亚迪），苏伟嘉（中兴），巩欣（比亚迪西安）
2021级：谢卓延（比亚迪），黄旭俊（比亚迪），葛在辉（海信）
（报考本人研究生请发送简历至邮箱）

主持项目：

2022.01-2025.12,国家自然科学基金面上项目，复杂交通-能源-通信互联系统与充电设施的耦合机理及规划方法研究；
2016.01-2018.12，国家自然科学基金青年科学基金项目，电力市场中计及不确定性的电动汽车充电设施综合规划；
2024.01-2025.12，广东省自然科学基金面上项目，交通电力信息耦合系统与充电设施的协同规划模型与算法研究；
2015.08-2018.08，广东省自然科学基金博士科研启动项目，计及发展不确定性的充电设施多阶段规划；
2020.2-2023.1，深圳市科技计划基础研究面上项目，适应电动汽车迅速普及的深圳市交通-电力-信息互联系统协调优化运行研究；
2019.1-2021.1，深圳市高端人才科研启动项目（孔雀计划），含大规模新能源和电动汽车的新一代能源互联网运行和规划研究，270万；
2019.1-2021.12，国家电网能源研究院科技项目，基于数据挖掘和市场博弈的能源站运营模式和适应性分析研究；
2018.04-2019.12，电网智能化调度与控制教育部重点实验室开放课题，基于深度学习理论的电动汽车集群负荷建模研究；
2018.01-2020.01，深圳市知识创新计划基础研究项目，加快深圳市电动汽车大规模应用的充电设施与供电网络协调规划研究；
2024.5-2025.6，国网（山东）电动汽车服务有限公司科技项目，基于深度学习的电动汽车充电设备故障自诊断和充电站运维辅助技术研究及应用，148万；
2015.10-2016.10，深圳大学新引进教师科研启动项目，适应电动汽车快速发展的充电设施多阶段规划方法；
2015.10-2016.10，深圳市城市轨道交通重点实验室开放基金，智能电网和智能交通环境下电动汽车充电站优化规划。

代表期刊论文 ：

[1] (一作) G. Wang, Z. Xu, F. Wen and K. P. Wong, "Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations," in IEEE Transactions on Power Delivery, vol. 28, no. 4, pp. 2363-2372, Oct. 2013.(ESI高被引论文，SCI, JCR Q2, 中科院JCR大三区小三区, IF：1.519)
[2] (通讯) H.Z. Wang, G.B. Wang*, G.Q. Li, J.C. Peng, Y.T. Liu, "Deep belief network based deterministic and probabilistic wind speed forecasting approach," in Applied Energy, Volume 182, 2016, Pages 80-93.(ESI热点论文,ESI高被引论文，SCI, JCR Q1,中科院JCR大一区小一区, TOP期刊, IF：5.746)
[3] (通讯) H. Wang, G. Li, G. Wang*, J. Peng, H. Jiang, Y. Liu, "Deep learning based ensemble approach for probabilistic wind power forecasting," in Applied Energy, Volume 188, 2017, Pages 56-70.(ESI高被引论文，SCI, JCR Q1,中科院JCR大一区小一区, TOP期刊, IF：7.182)
[4] (通讯) Y. Li, X. Zhang*, G. Wang*, F. Wen, Z. Pu and E. Chung, "An Efficient Gated-Attention Spatiotemporal Convolutional Network for Economical Operation of Electric Vehicle Charging Stations," in IEEE Transactions on Intelligent Transportation Systems, early access. (SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：9.551)
[5] (通讯) T. Wu, Z. Li, G. Wang*, X. Zhang* and J. Qiu, "Low-Carbon Charging Facilities Planning for Electric Vehicles Based on a Novel Travel Route Choice Model," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 6, pp. 5908-5922, June 2023. (SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：9.551)
[6] (通讯) Y. Li, S. Chai, X. Zhang*, G. Wang*, R. Zhu and E. Chung, "STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 15018-15034, Dec. 2023. (SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：9.551)
[7] (通讯) J. Liu, G. Wang*, G. Xu, J. Peng and H. Jiang, "A Parameter Identification Approach with Primary-Side Measurement for DC-DC Wireless-Power-Transfer Converters with Different Resonant Tank Topologies," in IEEE Transactions on Transportation Electrification, vol. 7, no. 3, pp. 1219-1235, Sept. 2021.(SCI, JCR Q1, 中科院JCR大二区小二区, TOP期刊, IF: 5.123)
[8] (通讯) T. Wu, S. Bu, X. Wei, G. Wang*, and B. Zhou, "Multitasking Multi-Objective Operation Optimization of Integrated Energy System Considering Biogas-Solar-Wind Renewables," in Energy Conversion and Management, Volume 229, Feb. 2021.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：9.709）
[9] (一作) Guibin Wang, Yongxing Zha, Ting Wu*, Jing Qiu, Jian-chun Peng, Gang Xu, "Cross entropy optimization based on decomposition for multi-objective economic emission dispatch considering renewable energy generation uncertainties," in Energy, Volume 193,2020,116790.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：6.082)
[10] (通讯) H. Wang, J. Ruan, G. Wang*, B. Zhou, Y. Liu, X. Fu, J.-C. Peng, "Deep Learning Based Interval State Estimation of AC Smart Grids against Sparse Cyber Attacks," in IEEE Transactions on Industrial Informatics, vol. 14, no. 11, pp. 4766-4778, Nov. 2018.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：5.430)
[11] (一作) G. Wang, X. Zhang, H. Wang, J.-C. Peng, H. Jiang, Y. Liu, C. Wu, Z. Xu, W. Liu,"Robust Planning of Electric Vehicle Charging Facilities with an Advanced Evaluation Method," in IEEE Transactions on Industrial Informatics, vol. 14, no. 3, pp. 866-876, March 2018.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：5.430)
[12] (一作) G. Wang, J. Zhao, F. Wen, Y. Xue and G. Ledwich, "Dispatch Strategy of PHEVs to Mitigate Selected Patterns of Seasonally Varying Outputs from Renewable Generation," in IEEE Transactions on Smart Grid, vol. 6, no. 2, pp. 627-639, March 2015.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊，IF：4.252)
[13] (一作) Guibin Wang, Y. Yang, H. Wang, "Low Carbon Oriented Power-to-Gas Station and Integrated Energy System Planning with Ancillary Service Provision and Wind Power Integration," in IET Renewable Power Generation,vol. 14, no. 17,2020.(SCI, JCR Q2, 中科院JCR大三区小三区, IF：3.894)
[14] (一作) Guibin Wang, Xinlong Huang, Yiqun Li, Hong Wang, Xian Zhang, and Jing Qiu, "Conv-ELSTM: An Ensemble Deep Learning Approach for Predicting Short-Term Wind Power," in IET Renewable Power Generation,early access.(SCI, JCR Q2, 中科院JCR大四区小四区, IF：2.6)
[15] (通讯) X. Zhang, Y. Yin, Y. Lv, H. Wang, T. Wu and G. Wang*, "A Low-Carbon Planning Strategy for Integrated Energy System and Hydrogen Refueling Stations with the Retirement of Oil Stations," in IEEE Transactions on Industry Applications, early access.(SCI, JCR Q1, 中科院JCR大二区小二区, IF：4.2)
[16] (通讯) X. Zhang, C. Gu, H. Wang, G. Wang*, Y. Xu* and A. R. Sayed, "Hydrogen Energy Storage System Participated Distributed Voltage Control with Multi-Agent Deep Reinforcement Learning Method," in IEEE Transactions on Industry Applications, early access.(SCI, JCR Q1, 中科院JCR大二区小二区, IF：4.2)
[17] A. R. Sayed, X. Zhang, G. Wang, Y. Wang, M. Shaaban and M. Shahidehpour, "Deep Reinforcement Learning-Assisted Convex Programming for AC Unit Commitment and Its Variants," in IEEE Transactions on Power Systems, vol. 39, no. 4, pp. 5561-5574, July 2024.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：7.33)
[18] A. R. Sayed, X. Zhang, G. Wang, J. Qiu and C. Wang, "Online Operational Decision-Making for Integrated Electric-Gas Systems with Safe Reinforcement Learning," in IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 2893-2906, March 2024.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：7.33)
[19] A. R. Sayed, X. Zhang*, G. Wang, C. Wang and J. Qiu, "Optimal Operable Power Flow: Sample-Efficient Holomorphic Embedding-Based Reinforcement Learning," IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 1739-1751, Jan. 2024.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：7.33)
[20] X. Zhang, K. W. Chan, H. Li, H. Wang, J. Qiu and G. Wang, "Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model," in IEEE Transactions on Cybernetics, vol. 51, no. 6, pp. 3157-3170, June. 2021.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：19.118)
[21] T. Wu, Wenli Xue, Huaizhi Wang, C. Y. Chung, Guibin Wang, Jianchun Peng, Qiang Yang, "Extreme Learning Machine-Based State Reconstruction for Automatic Attack Filtering in Cyber Physical Power System," in IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1892-1904, Mar. 2021.(SCI, JCR Q1, 中科院JCR大一区小一区,TOP期刊, IF：11.648)
[22] Yunqi Wang, Jing Qiu, Yuechuan Tao, Xian Zhang, Guibin Wang, "Low-carbon oriented optimal energy dispatch in coupled natural gas and electricity systems," in Applied Energy, Volume 280, Dec. 2020, 115948.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊，IF：9.746)
[23] Shengyang Zhong, Jing Qiu, Lingling Sun, Yanli Liu, Chenxi Zhang, Guibin Wang, "Coordinated planning of distributed WT, shared BESS and individual VESS using a two-stage approach," in International Journal of Electrical Power & Energy Systems, Volume 114, Jon. 2020, 105380.(SCI, JCR Q1, 中科院JCR大二区小三区, IF：4.630)
[24] Xian Zhang, Ka Wing Chan, Huaizhi Wang, Bin Zhou, Guibin Wang, Jing Qiu, "Multiple group search optimization based on decomposition for multi-objective dispatch with electric vehicle and wind power uncertainties," in Applied Energy, Volume 262, Mar. 2020, 114507.(SCI, JCR Q1, 中科院JCR大一区小二区, TOP期刊，IF：9.746)
[25] X. Lu, K. W. Chan, S. Xia, X. Zhang, G. Wang and F. Li, "A Model to Mitigate Forecast Uncertainties in Distribution Systems Using the Temporal Flexibility of EVAs," in IEEE Transactions on Power Systems, vol. 35, no. 3, pp. 2212-2221, May 2020.(SCI, JCR Q1, 中科院JCR大一区小二区, TOP期刊, IF：6.074)
[26] X. Zhang, Peiling Li, Jiefeng Hu, Ming Liu, Guibin Wang, Jing Qiu, Ka Wing Chan, "Yen’s Algorithm-Based Charging Facility Planning Considering Congestion in Coupled Transportation and Power Systems," in IEEE Transactions on Transportation Electrification, vol. 5, no. 4, pp. 1134-1144, Dec. 2019.(SCI, JCR Q1, 中科院JCR大一区小二区, TOP期刊, IF: 5.270)
[27] B. Fan, C. Wang, Q. Yang, W. Liu and G. Wang, "Performance Guaranteed Control of Flywheel Energy Storage System for Pulsed Power Load Accommodation," in IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 3994-4004, July 2018.(SCI, JCR Q1, 中科院JCR大二区小二区, TOP期刊, IF：5.255)
[28] Xian Zhang, Huaizhi Wang, Jian-chun Peng, Yitao Liu, Guibin Wang, Hui Jiang, "GPNBI inspired MOSDE for electric power dispatch considering wind energy penetration," in Energy, Volume 144, Feb. 2018, Pages 404-419.(SCI, JCR Q1, 中科院JCR大二区小一区, TOP期刊, IF：4.968)
[29] Huaizhi Wang, Haiyan Yi, Jianchun Peng, Guibin Wang, Yitao Liu, Hui Jiang, Wenxin Liu, "Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network," in Energy Conversion and Management, Volume 153, Dec. 2017, Pages 409-422.(ESI高被引论文，SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：5.589)
[30] Huaizhi Wang, Rongquan Zhang, Jianchun Peng, Guibin Wang, Yitao Liu, Hui Jiang, Wenxin Liu, "GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system," in Energy Conversion and Management, Volume 151, Nov. 2017, Pages 524-537.(SCI, JCR Q1, 中科院JCR大一区小一区, TOP期刊, IF：5.589)
[31] F. Zhang, Guibin Wang, Ke Meng, Junhua Zhao, Zhao Xu, Zhao Yang Dong, Jun Liang, "Improved Cycle Control and Sizing Scheme for Wind Energy Storage System Based on Multiobjective Optimization," in IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 966-977, July 2017.(SCI, JCR Q1, 中科院JCR大二区小二区，IF：4.909)

代表会议论文：

[1] G. Wang, Xinyu Ji, Bin Zhou, Hairong Li, Huaizhi Wang, “A Radial Basis Function Based Approach for Electric Vehicle Charging Load Forecasting,” The 11th IET International Conference on Advances in Power System Control, Operation and Management 2018 (APSCOM 2018), Hong Kong, 2018, pp.1-5.（会议最佳论文奖）
[2] Chaohang Zhang, Jianwei Chen, Yuhang Wang, Guibin Wang* and Zhao Xu, "Feasibility analysis and comparison of different types of electric vehicles," 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015), Hong Kong, 2015, pp. 1-6.(大会报告论文)
[3] 王贵斌, 许昭, 文福拴, “平抑负荷波动的配电网电动汽车优化调度,” 第四届深港澳台博士生南山学术论坛, Dec. 2011. （论坛优秀论文）

代表专利：

[1] 发明人：张弦；殷悦；高小岩；王怀智；王贵斌；专利名称：一种考虑燃煤机组及加油站退出的制氢网络运行方法；专利类型：发明专利；状态：已授权；授权时间：2023
[2] 发明人：张弦；高小岩；殷悦；王怀智；王贵斌；专利名称：一种氢能源车的碳导向能源互联网规划方法；专利类型：发明专利；状态：已授权；授权时间：2023

代表著作：

获得荣誉：

2021.07，浙江省自然科学二等奖，电动汽车广泛随机接入的电力系统规划与运行研究，第四完成人（深大为第二完成单位）；
2024.09，全球前2％顶尖科学家；
2019.11，中国精品科技期刊顶尖论文F5000；
2019.8, Applied Energy 高被引论文奖；
2019.01，深圳大学优秀青年教师（荔园优青）；
2018.11， Best Paper Award of IET APSCOM (国际会议最佳论文奖)
2018.05, 深圳大学第七届青年教师讲课竞赛院级二等奖;
2017.05，深圳市海外高层次人才C类；
2016,2018，深圳大学论文一等奖；
2016.06, 深圳大学2016届百篇优秀本科毕业论文（设计）指导教师;
2015.07, 深圳大学2014年“挑战杯”大学生课外学术科技作品竞赛学院获奖作品指导教师;
2011.12, 深港澳台博士生南山学术论坛优秀论文二等奖。

主要学术兼职：

IEEE中国区电动汽车技术委员会电动汽车与能源交通系统融合技术分委会常务理事；
IEEE PES中国区电力系统动态技术委员会电力系统恢复技术分委会常务理事；
国家自然基金青年、面上及地区项目函评专家；南方电网、国家电网项目评审专家；IEEE会员；IEEE PES会员；多个SCI期刊审稿人。