| Direct interval forecast of uncertain wind power based on recurrent neural networks Z Shi, H Liang, V Dinavahi IEEE Transactions on Sustainable Energy 9 (3), 1177-1187, 2017 | 199 | 2017 |
| Distributionally robust chance-constrained energy management for islanded microgrids Z Shi, H Liang, S Huang, V Dinavahi IEEE Transactions on Smart Grid 10 (2), 2234-2244, 2018 | 181 | 2018 |
| Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach Z Shi, R Wang, T Zhang Solar energy 118, 96-106, 2015 | 148 | 2015 |
| Wavelet neural network based multiobjective interval prediction for short-term wind speed Z Shi, H Liang, V Dinavahi IEEE Access 6, 63352-63365, 2018 | 35 | 2018 |
| Multistage robust energy management for microgrids considering uncertainty Z Shi, H Liang, S Huang, V Dinavahi IET Generation, Transmission & Distribution 13 (10), 1906-1913, 2019 | 33 | 2019 |
| Data-driven distributionally robust chance-constrained unit commitment with uncertain wind power Z Shi, H Liang, V Dinavahi IEEE Access 7, 135087-135098, 2019 | 30 | 2019 |
| Multiobjective routing optimization of mobile charging vehicles for UAV power supply guarantees W Qin, Z Shi, W Li, K Li, T Zhang, R Wang Computers & Industrial Engineering 162, 107714, 2021 | 24 | 2021 |
| Optimal design and operation of islanded multi-microgrid system with distributionally robust optimization Z Shi, T Zhang, Y Liu, Y Feng, R Wang, S Huang Electric Power Systems Research 221, 109437, 2023 | 21 | 2023 |
| A flexible battery capacity estimation method based on partial voltage curves and polynomial fitting M Cao, Y Liu, T Zhang, Y Wang, R Wang, Z Shi Energy and Buildings 290, 113045, 2023 | 13 | 2023 |
| Distributionally robust multi‐period energy management for CCHP‐based microgrids Z Shi, H Liang, V Dinavahi IET Generation, Transmission & Distribution 14 (19), 4097-4107, 2020 | 13 | 2020 |
| PICEA-g using an enhanced fitness assignment method ZC Shi, R Wang, T Zhang 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014 | 11 | 2014 |
| A Bayesian optimization hyperband-optimized incremental deep belief network for online battery behaviour modelling for a satellite simulator M Cao, T Zhang, Y Liu, Y Wang, Z Shi Journal of Energy Storage 58, 106348, 2023 | 3 | 2023 |
| Distributionally robust energy management of multi-microgrid system with uncertainty Z Shi, T Zhang, Y Liu, R Wang, S Huang 2022 5th International Conference on Energy, Electrical and Power …, 2022 | 3 | 2022 |
| Scheduling and Routing of Mobile Charging Vehicles for Unmanned Aerial Vehicles Charging W Qin, T Zhang, Z Shi, H Huang, H He, W Li 2021 IEEE 5th Conference on Energy Internet and Energy System Integration …, 2021 | 1 | 2021 |
| Energy and Reserve Dispatch with Renewable Generation Using Data-Driven Distributionally Robust Optimization Z Shi, H Liang, V Dinavahi 2019 North American Power Symposium (NAPS), 1-6, 2019 | 1 | 2019 |
| Energy management of multi-microgrid system with renewable energy using data-driven distributionally robust optimization Z Shi, T Zhang, Y Liu, Y Feng, R Wang, S Huang International Journal of Green Energy, 1-14, 2024 | | 2024 |
| Short-term Interval Prediction of Wind Speed Using LSTM with Improved Grid Search J Huangfu, Z Shi, Y Liu, K Li 2022 7th International Conference on Power and Renewable Energy (ICPRE), 832-837, 2022 | | 2022 |
| Short-term Forecast of Wind Speed Based on Hybrid Multi-Stage Decomposition and LSTM Optimized by an Improved WOA J Huangfu, Z Shi, Y Liu 2022 8th International Conference on Big Data and Information Analytics …, 2022 | | 2022 |
| State of health estimation for Lithium-ion battery based on fusion features Y Wang, T Zhang, Z Shi, M Cao, W Zhu, Y Liu IET Digital Library, 2022 | | 2022 |
| Uncertainty Modeling and Optimization in Smart Grid with Renewable Generation Z Shi | | 2020 |
