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伍洲 教授
发布时间:2019-04-28 11:45:16 来源:

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伍洲,安徽安庆人,教授/博导,重庆大学“百人计划”特聘研究员,IEEE/ACM成员。博士毕业于香港城市大学,而后作为高级研究学者加入南非Pretoria大学。2016年加入5号彩票。至今发表Nature子刊、IEEE汇刊等权威期刊论文30余篇,ESI高被引1篇,以及多篇国际会议论文。参与多项香港政府项目和南非国家项目,具有节能减排的测量与认证(M&V)的项目经验。在能源管理、智能优化和控制等领域取得了国际公认的成果,发表在Applied Energy上的文章被国际ENI奖提名。坚信“少年强则中国强”,欢迎有志青年来重庆大学交流合作。诚招相关领域的研究生、博士生和博士后,请联系我们 (zhouwu@cqu.edu.cn)。


办公地址:

重庆市沙坪坝区沙正街174号重大主教学楼裙楼207

 

研究领域:

能源/建筑信息化、智能优化与控制、人工智能与数据挖掘

 

工作经历:

2016.2至今

5号彩票特聘研究员

2012.102015.12

南非Pretoria大学高级研究员

 

学术职位:

《自动化学报》编委

多个国际期刊杰出审稿人,如 IEEE TIE/TII, APEN等;

多个国际会议执行委员,如 ICSI, IEEE AFRICON, BIC-TA等;

 

荣誉奖励:

香港城市大学优秀博士生奖、ENI award 论文提名奖

 

科研项目:

国家自然科学基金“大型建筑改造过程中多尺度多目标智能优化关键技术研究”;

国家自然科学基金“总线式结构电场耦合型电池组能量均衡系统及控制方法研究”;

中央高校基金前沿交叉项目“众包机制下建筑节能改造的博弈及均衡策略”;

中央高校基金前沿交叉项目“用户侧新能源混合发电系统的优化控制研究”;

重庆大学基础学科重点发展基金“建筑业大数据与人工智能”;

 

部分论文:

2019

Z. Wu, Q. Li, W. Wu, and M. Zhao, "Crowdsourcing model for energy efficiency retrofit and mixed-integer equilibrium analysis,” Transaction on Industrial Infoormatics, DIO: 10.1109/TII.2019.2944627, 2019;

N. Ao, M. Zhao, Q. Li, S. Qu, and Z. Wu*, “Network characteristics of neighborhood field algorithms,” Neural Computing and Applications, DIO: 10.1007/s00521-019-04255-0, 2019;

R. Chen, K. Sun, Q. Zhang, Y. Zhou, M. Li, Y. Sun, Z. Wu, et.al, "Sequential Solution Polymerization of Poly (3, 4-ethylenedioxythiophene) Using V2O5 as Oxidant for Flexible Touch Sensors," iScience, 12, pp. 66-75;

3. W. Sun, Y. Zheng, K. Yang, Q. Zhang, Akeel A. Shah, Zhou Wu, Y. Sun, Liang Feng, D. Chen, Z. Xiao, S. Lu, Y. Li, K. Sun, “Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials,” Science Advances, 5(10), 2019;


2018

R. Tang, Z. Wu*, X. Li, “Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application,” Energy, 62, 697-714, 2018;

B. Wang, Z. Wu, and L. Liu, “A Multi-Scale Differential Evolution Algorithm Based Maintenance Plan Optimization for Building Energy Retrofitting,” Complexity, 2018;

Z. Wu and X. Xia, “Tariff-driven demand side management of green ship,” Solar Energy, 170, pp. 991-1000, 2018;

X. Zhang, X. Zhang, and Z. Wu*, “Dual problem of sorptive barrier design with a multiobjective approach,” Neural Computing and Applications, 30(9), 2895-2905, 2018;

Q. Li, Z. Wu*, X. Xia, “Estimate and characterize PV power at demand-side hybrid system,” Applied Energy, 218, 66-77, 2018;

Z. Wu, K. Zhao, X. Xia, “Lighting retrofit and maintenance models with decay and adaptive control,” IET Control Theory & Applications, 12(5), pp. 593 – 600, 2018;

F. Xu, Y. Fang, Z. Wu, J. Liang, “A method based on multiscale base-scale entropy and random forests for roller bearings faults diagnosis,” Journal of Vibroengineering. 20(1), pp. 175-188, 2018;

 

2017

R Tang, Z Wu*, and Y Fang, “Configuration of marine photovoltaic system and its MPPT using model predictive control,” Solar Energy, 158, pp. 995-1005, 2017;

Z Wu, R Ling, and R Tang, “Dynamic battery equalization with energy and time efficiency for electric vehicles,” Energy, 41, pp.  937-948, 2017;

X. Zhang and Z. Wu*, “Study neighborhood field optimization algorithm on nonlinear sorptive barrier design problems,” Neural Computing and Applications, 28(4), pp. 783-795, 2017;

R. Tang, Z. Wu*, and Y. Fang, “Adaptive multi-context cooperatively coevolving particle swarm optimization for large-scale problems,” Soft Computing, vol. 22, no. 16, pp. 4735–4754, 2017;

B Wang, Z. Wu, and X. Xia, “A multistate-based control system approach toward optimal maintenance planning,” IEEE Transactions on Control Systems Technology, 25 (1), pp. 374-381, 2017

 

2016

Z. Wu, B. Wang, and X. Xia, "Large-scale building energy efficiency retrofit: Concept, model and control, Energy, 109, pp. 456-465, 2016;

R. Tang, Z. Wu*, and Y. Fang, “Maximum power point tracking of large-scale photovailtaic Array,” Solar Energy, 134, pp. 503-514, 2016;

B Zhu, X Xia, and Z Wu, “Evolutionary game theoretic demand-side management and control for a class of networked smart grid,” Automatica, 70, pp. 94-100, 2016;

F Yang, J Mei, and Z Wu, “Finite-time synchronisation of neural networks with discrete and distributed delays via periodically intermittent memory feedback control,” IET Control Theory & Applications, 10 (14), pp. 1630-1640, 2016;

 

2015

Z. Wu, H. Tazvinga, and X. Xia, “Demand Side Management of Photovoltaic-Battery Hybrid System,” Applied Energy, vol. 148, pp. 294-304, 2015(ESI高被引论文)

Z. Wu, X. Xia and B. Wang, “Improving Building Energy Efficiency by Multiobjective Neighborhood Field Optimization,” Energy and Building, vol. 87, pp. 45-46, 2015

Z. Wu and X. Xia, “Optimal Switching Renewable Energy System for Demand Side Management,” Solar Energy, vol. 145, pp. 278-288, 2015;

M. Zhao, T. W. S. Chow, Z. Wu*, Z. Zhang, and B. Li, “Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction,” Information Sciences, vol. 324, pp. 286-309, 2015;

M. Zhao, Z. Zhan, Z. Wu, and T. Tang, “Semi-supervised Image Classification based on Local and Global Regression,” IEEE Signal Processing Letters, 22(10), pp. 1666-1670, 2015;

M. Zhao, B. Li, Z. Wu, and C. Zhan, “Image Classification via Least Square Semi-supervised Discriminant Analysis with Flexible Kernel Regression for Out-of-sample Extension,” Neurocomputing, vol. 153, pp. 96-107, 2015;

 

2014

Z. Wu and X. Xia, “Model Predictive Control for Improving Operational Efficiency of Overhead Cranes,” Nonlinear Dynamics, vol. 19, no. 4, pp. 2639-2657, 2014;

Z. Wu and X. Xia, “Optimal Motion Planning for Overhead Cranes,” IET Control Theory &Applications, 8(17), pp. 1833-1842, 2014;

J. Mei, M. Jiang, Z. Wu, and X Wang, “Periodically intermittent controlling for finite-time synchronization of complex dynamical networks”, Nonlinear Dynamics, 79(1), pp. 295-305, 2014;

H. Mo, Z. Xu, L. Xu, Z. Wu, and H. Ma, "Constrained Multiobjective Biogeography Optimization Algorithm," Scientific World Journal, vol. 2014, pp. 1-12, 2014;

 

2013

Z. Wu and T. W. S. Chow, “Binary Neighbourhood Field Optimization for Unit Commitment Problems,” IET Generation Transmission & Distribution, 7(3), pp. 299-308, 2013;

Z. Wu and T. W. S Chow, “Neighborhood Field for Cooperative Optimization,” Soft Computing, 17(5), pp. 819-834, 2013;

Z. Wu, T. W. S Chow, S. Cheng, and Y. Shi, “Contour Gradient Optimization,” International Journal of Swarm Intelligence Research, 4( 2), pp. 1-28, 2013;

 

2012以前

Z. Wu and T. W. S Chow, “A Local Multiobjective Optimization Algorithm Using Neighborhood Field,” Structural and Multidisciplinary Optimization, 46(6), pp. 853-870;

方彦军, 伍洲, 王琛, “集散遗传算法在厂级 AGC 负荷分配中的应用”, 电网技术, 34(7):1960-1964,2010;

伍洲, 方彦军, “高压巡线机器人电磁导航系统研究与设计, 高电压技术, 34(9):1959-1963, 2008;

 

 

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