近期论文
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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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