| Probabilistic forecasting of wind power generation using extreme learning machine C Wan, Z Xu, P Pinson, ZY Dong, KP Wong IEEE Transactions on Power Systems 29 (3), 1033-1044, 2013 | 825 | 2013 |
| Photovoltaic and solar power forecasting for smart grid energy management C Wan, J Zhao, Y Song, Z Xu, J Lin, Z Hu CSEE Journal of power and energy systems 1 (4), 38-46, 2015 | 728 | 2015 |
| Optimal prediction intervals of wind power generation C Wan, Z Xu, P Pinson, ZY Dong, KP Wong IEEE Transactions on Power Systems 29 (3), 1166-1174, 2013 | 366 | 2013 |
| Direct quantile regression for nonparametric probabilistic forecasting of wind power generation C Wan, J Lin, J Wang, Y Song, ZY Dong IEEE Transactions on Power Systems 32 (4), 2767-2778, 2016 | 303 | 2016 |
| A hybrid approach for probabilistic forecasting of electricity price C Wan, Z Xu, Y Wang, ZY Dong, KP Wong IEEE Transactions on Smart Grid 5 (1), 463-470, 2013 | 255 | 2013 |
| Probabilistic forecasting of photovoltaic generation: An efficient statistical approach C Wan, J Lin, Y Song, Z Xu, G Yang IEEE Transactions on Power Systems 32 (3), 2471-2472, 2016 | 196 | 2016 |
| Optimal cloud computing resource allocation for demand side management in smart grid Z Cao, J Lin, C Wan, Y Song, Y Zhang, X Wang IEEE Transactions on Smart Grid 8 (4), 1943-1955, 2016 | 196 | 2016 |
| A multistage home energy management system with residential photovoltaic penetration F Luo, G Ranzi, C Wan, Z Xu, ZY Dong IEEE Transactions on Industrial Informatics 15 (1), 116-126, 2018 | 161 | 2018 |
| A multi-model combination approach for probabilistic wind power forecasting Y Lin, M Yang, C Wan, J Wang, Y Song IEEE Transactions on Sustainable Energy 10 (1), 226-237, 2018 | 160 | 2018 |
| Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory J Zhao, C Wan, Z Xu, J Wang IEEE Transactions on Smart Grid 8 (4), 1609-1618, 2015 | 154 | 2015 |
| Direct interval forecasting of wind power C Wan, Z Xu, P Pinson IEEE Transactions on Power Systems 28 (4), 4877-4878, 2013 | 135 | 2013 |
| Hybrid ensemble deep learning for deterministic and probabilistic low-voltage load forecasting Z Cao, C Wan, Z Zhang, F Li, Y Song IEEE Transactions on Power Systems 35 (3), 1881-1897, 2019 | 122 | 2019 |
| A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems M Niu, C Wan, Z Xu Journal of Modern Power Systems and Clean Energy 2 (4), 289-297, 2014 | 122 | 2014 |
| Distribution network electric vehicle hosting capacity maximization: A chargeable region optimization model J Zhao, J Wang, Z Xu, C Wang, C Wan, C Chen IEEE Transactions on Power Systems 32 (5), 4119-4130, 2017 | 120 | 2017 |
| Stochastic receding horizon control of active distribution networks with distributed renewables Y Jiang, C Wan, J Wang, Y Song, ZY Dong IEEE Transactions on Power Systems 34 (2), 1325-1341, 2018 | 104 | 2018 |
| Battery ESS planning for wind smoothing via variable-interval reference modulation and self-adaptive SOC control strategy F Zhang, K Meng, Z Xu, Z Dong, L Zhang, C Wan, J Liang IEEE Transactions on Sustainable Energy 8 (2), 695-707, 2016 | 103 | 2016 |
| A hybrid stochastic-interval operation strategy for multi-energy microgrids Y Jiang, C Wan, C Chen, M Shahidehpour, Y Song IEEE Transactions on Smart Grid 11 (1), 440-456, 2019 | 100 | 2019 |
| A fully distributed hierarchical control framework for coordinated operation of DERs in active distribution power networks S Xia, S Bu, C Wan, X Lu, KW Chan, B Zhou IEEE transactions on power systems 34 (6), 5184-5197, 2018 | 92 | 2018 |
| Electric load clustering in smart grid: Methodologies, applications, and future trends C Si, S Xu, C Wan, D Chen, W Cui, J Zhao Journal of Modern Power Systems and Clean Energy 9 (2), 237-252, 2021 | 91 | 2021 |
| Distributed photovoltaic generation in the electricity market: status, mode and strategy S Jiang, C Wan, C Chen, E Cao, Y Song CSEE Journal of Power and Energy Systems 4 (3), 263-272, 2018 | 91 | 2018 |
Zhao XuProfessor, The Hong Kong Polytechnic UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα polyu.edu.hk
