Demand side management of photovoltaic-battery hybrid system Z Wu, H Tazvinga, X Xia Applied Energy 148, 294-304, 2015 | 338 | 2015 |
Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials W Sun, Y Zheng, K Yang, Q Zhang, AA Shah, Z Wu, Y Sun, L Feng, ... Science advances 5 (11), eaay4275, 2019 | 236 | 2019 |
Model predictive control for improving operational efficiency of overhead cranes Z Wu, X Xia, B Zhu Nonlinear Dynamics 79, 2639-2657, 2015 | 157 | 2015 |
Optimal motion planning for overhead cranes Z Wu, X Xia IET Control Theory & Applications 8 (17), 1833-1842, 2014 | 153 | 2014 |
Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application R Tang, Z Wu, X Li Energy 162, 697-714, 2018 | 117 | 2018 |
Large-scale building energy efficiency retrofit: Concept, model and control Z Wu, B Wang, X Xia Energy 109, 456-465, 2016 | 100 | 2016 |
Optimal switching renewable energy system for demand side management Z Wu, X Xia Solar Energy 114, 278-288, 2015 | 86 | 2015 |
Evolutionary game theoretic demand-side management and control for a class of networked smart grid B Zhu, X Xia, Z Wu Automatica 70, 94-100, 2016 | 84 | 2016 |
Improving building energy efficiency by multiobjective neighborhood field optimization Z Wu, X Xia, B Wang Energy and Buildings 87, 45-56, 2015 | 83 | 2015 |
A comprehensive review on deep learning approaches in wind forecasting applications Z Wu, G Luo, Z Yang, Y Guo, K Li, Y Xue CAAI Transactions on Intelligence Technology 7 (2), 129-143, 2022 | 80 | 2022 |
Sequential solution polymerization of poly (3, 4-ethylenedioxythiophene) using V2O5 as oxidant for flexible touch sensors R Chen, K Sun, Q Zhang, Y Zhou, M Li, Y Sun, Z Wu, Y Wu, X Li, J Xi, ... IScience 12, 66-75, 2019 | 73 | 2019 |
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction M Zhao, TWS Chow, Z Wu, Z Zhang, B Li Information Sciences 324, 286-309, 2015 | 72 | 2015 |
Periodically intermittent controlling for finite-time synchronization of complex dynamical networks J Mei, M Jiang, Z Wu, X Wang Nonlinear Dynamics 79 (1), 295-305, 2015 | 72 | 2015 |
Multi-timescale forecast of solar irradiance based on multi-task learning and echo state network approaches Z Wu, Q Li, X Xia IEEE Transactions on Industrial Informatics 17 (1), pp. 300-310, 2020 | 64 | 2020 |
Neighborhood field for cooperative optimization Z Wu, TWS Chow Soft Computing 17 (5), 819-834, 2013 | 62 | 2013 |
The use of deep learning to fast evaluate organic photovoltaic materials W Sun, M Li, Y Li, Z Wu, Y Sun, S Lu, Z Xiao, B Zhao, K Sun Advanced Theory and Simulations 2 (1), 1800116, 2019 | 58 | 2019 |
Configuration of marine photovoltaic system and its MPPT using model predictive control R Tang, Z Wu, Y Fang Solar Energy 158, 995-1005, 2017 | 52 | 2017 |
A study of similarity measure between tasks for multifactorial evolutionary algorithm L Zhou, L Feng, J Zhong, Z Zhu, B Da, Z Wu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 49 | 2018 |
Maximum power point tracking of large-scale photovoltaic array R Tang, Z Wu, Y Fang Solar Energy 134, 503-514, 2016 | 48 | 2016 |
Dynamic battery equalization with energy and time efficiency for electric vehicles Z Wu, R Ling, R Tang Energy 141, 937-948, 2017 | 46 | 2017 |