王贵斌      研究员

性别:

邮箱: guibinwang@outlook.com

办公室: 机电大楼S801

人才称号: 深圳市海外高层次人才,深圳大学优秀青年教师(荔园优青)

最终学位: 博士

办公电话: 13175499727

导师资格: 硕士生导师

研究领域:

智能电网与电力电子技术
1、电气化智能交通(电动汽车充放电控制、充电设施规划)。
2、深度学习、人工智能(能源互联网数据挖掘与机器学习、电动汽车集群优化控制与调度);
3、智能电网与移动物联网(信息物理融合系统、分布式优化与控制);
(报考本人研究生请电话或发送简历至邮箱))
本人长期招聘博士后多名(年薪税后30万+)、研究员一名(年薪税后24-48万),博士后和专职研究人员达标即可认定为深圳市高层次人才,并可通过“荔园留菁计划”申请留校。

主讲本科课程:

自动控制原理
最优化方法
模式识别

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:

2014.9至今,深圳大学,讲师,副研究员,副教授,研究员。
2011.11-2014.09,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:
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)。
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;
2016.01-2018.12,国家自然科学基金青年科学基金项目;
2024.01-2025.12,广东省自然科学基金面上项目;
2020.2-2023.1,深圳市科技计划基础研究面上项目;
2019.1-2021.1,深圳市高端人才科研启动项目(孔雀计划);
2019.1-2021.12,国家电网能源研究院科技项目;
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;
2018.01-2020.01,深圳市知识创新计划基础研究项目;
2015.08-2018.08,广东省自然科学基金博士科研启动项目;
2015.10-2016.10,深圳大学新引进教师科研启动项目;
2015.10-2016.10,深圳市城市轨道交通重点实验室开放基金。

代表期刊论文 :

[1] 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.
[2] 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.
[3] 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.
[4] 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,” Energy Conversion and Management, Volume 229, Feb. 2021.
[5] 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",IET Renewable Power Generation,vol. 14, no. 17,2020.
[6] J. Liu, P. Li, G. Wang*, Y. Zha, J. Peng and G. Xu, "A Multitasking Electric Power Dispatch Approach With Multi-Objective Multifactorial Optimization Algorithm," in IEEE Access, vol. 8, pp. 155902-155911, 2020.
[7] 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,Energy,Volume 193,2020,116790.
[8] 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.
[9] 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.
[10] H. Wang, G. Li, G. Wang*, J. Peng, H. Jiang, Y. Liu, Deep learning based ensemble approach for probabilistic wind power forecasting, Applied Energy, Volume 188, 2017, Pages 56-70.(ESI高被引论文)
[11] 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, Applied Energy, Volume 182, 2016, Pages 80-93.(ESI热点论文,ESI高被引论文)
[12] 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.
[13] 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)

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)

获得荣誉:

2021.07,浙江省自然科学二等奖,第四完成人(深大为第二完成单位);
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。

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