| Modeling and optimization of HVAC systems using a dynamic neural network A Kusiak, G Xu Energy 42 (1), 241-250, 2012 | 238 | 2012 |
| Multi-objective optimization of HVAC system with an evolutionary computation algorithm A Kusiak, F Tang, G Xu Energy 36 (5), 2440-2449, 2011 | 175 | 2011 |
| Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method A Kusiak, G Xu, Z Zhang Energy Conversion and Management 85, 146-153, 2014 | 110 | 2014 |
| Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm A Kusiak, G Xu, F Tang Energy 36 (10), 5935-5943, 2011 | 106 | 2011 |
| Modeling and optimization of a chiller plant X Wei, G Xu, A Kusiak Energy 73, 898-907, 2014 | 105 | 2014 |
| A copositive approach for two-stage adjustable robust optimization with uncertain right-hand sides G Xu, S Burer Computational Optimization and Applications 70, 33-59, 2018 | 61 | 2018 |
| Minimizing energy consumption of an air handling unit with a computational intelligence approach A Kusiak, Y Zeng, G Xu Energy and Buildings 60, 355-363, 2013 | 55 | 2013 |
| Data-driven distributionally robust appointment scheduling over Wasserstein balls R Jiang, M Ryu, G Xu arXiv preprint arXiv:1907.03219, 2019 | 27 | 2019 |
| Minimization of wind farm operational cost based on data-driven models A Kusiak, Z Zhang, G Xu IEEE Transactions on Sustainable Energy 4 (3), 756-764, 2013 | 25 | 2013 |
| Improved decision rule approximations for multistage robust optimization via copositive programming G Xu, GA Hanasusanto Operations Research, 2023 | 22 | 2023 |
| A data-driven distributionally robust bound on the expected optimal value of uncertain mixed 0-1 linear programming G Xu, S Burer Computational Management Science 15, 111-134, 2018 | 13 | 2018 |
| Diversity in news recommendations using contextual bandits A Semenov, M Rysz, G Pandey, G Xu Expert Systems with Applications 195, 116478, 2022 | 11 | 2022 |
| Distributionally robust optimization with confidence bands for probability density functions X Chen, Q Lin, G Xu INFORMS Journal on Optimization 4 (1), 65-89, 2022 | 8 | 2022 |
| Robust sensitivity analysis of the optimal value of linear programming G Xu, S Burer Optimization Methods and Software 32 (6), 1187-1205, 2017 | 8 | 2017 |
| HVAC system study: a data-driven approach G Xu The University of Iowa, 2012 | 8 | 2012 |
| A holistic robust method for optimizing multi-timescale operations of a wind farm with energy storages B Zhang, G Xu, Z Zhang Journal of Cleaner Production 356, 131793, 2022 | 7 | 2022 |
| A data‐driven network optimisation approach to coordinated control of distributed photovoltaic systems and smart buildings in distribution systems L Bai, Y Xue, G Xu, J Dong, MM Olama, T Kuruganti IET Energy Systems Integration 3 (3), 285-294, 2021 | 6 | 2021 |
| A branch-and-bound algorithm for instrumental variable quantile regression G Xu, S Burer Mathematical Programming Computation 9, 471-497, 2017 | 4 | 2017 |
| Optimal pv inverter control in distribution systems via data-driven distributionally robust optimization L Bai, G Xu, YS Xue 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 3 | 2020 |
| Optimal override policy for chemotherapy scheduling template via mixed-integer linear programming YL Huang, I Sikder, G Xu Optimization Letters, 1-14, 2022 | 2 | 2022 |
Zijun ZhangProfessor, School of Data Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
