| Dynamic economic/emission dispatch including PEVs for peak shaving and valley filling H Liang, Y Liu, F Li, Y Shen IEEE Transactions on Industrial Electronics 66 (4), 2880-2890, 2018 | 183 | 2018 |
| A hybrid bat algorithm for economic dispatch with random wind power H Liang, Y Liu, Y Shen, F Li, Y Man IEEE Transactions on Power Systems 33 (5), 5052-5061, 2018 | 170 | 2018 |
| A multiobjective hybrid bat algorithm for combined economic/emission dispatch H Liang, Y Liu, F Li, Y Shen International Journal of Electrical Power & Energy Systems 101, 103-115, 2018 | 118 | 2018 |
| A new distributed energy management strategy for smart grid with stochastic wind power W Li, Y Liu, H Liang, Y Shen IEEE Transactions on Industrial Electronics 68 (2), 1311-1321, 2020 | 42 | 2020 |
| A surrogate-assisted adaptive bat algorithm for large-scale economic dispatch A Pang, H Liang, C Lin, L Yao Energies 16 (2), 1011, 2023 | 16 | 2023 |
| Robust visual tracking via an improved background aware correlation filter X Sheng, Y Liu, H Liang, F Li, Y Man IEEE Access 7, 24877-24888, 2019 | 16 | 2019 |
| A fast data-driven optimization method of multi-area combined economic emission dispatch C Lin, H Liang, A Pang Applied Energy 337, 120884, 2023 | 15 | 2023 |
| Collaborative optimization of dynamic grid dispatch with wind power J Liu, Y Liu, H Liang, Y Man, F Li, W Li International Journal of Electrical Power & Energy Systems 133, 107196, 2021 | 15 | 2021 |
| A multiobjective chaotic bat algorithm for economic and emission dispatch H Liang, Y Liu, Y Shen, F Li 2017 Chinese Automation Congress (CAC), 4684-4689, 2017 | 11 | 2017 |
| Distributed tracking-ADMM approach for chance-constrained energy management with stochastic wind power in smart grid W Li, Y Liu, H Liang, Y Man, F Li CSEE Journal of Power and Energy Systems, 2021 | 8 | 2021 |
| A binary bat algorithm with improved crossover operators and Cauchy mutation for unit commitment problem A Pang, H Liang, C Lin, L Yao The Journal of Supercomputing, 1-32, 2024 | 6 | 2024 |
| Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization … C Lin, H Liang, A Pang, J Zhong Frontiers in Energy Research 11, 1273760, 2023 | 5 | 2023 |
| Data-Driven Surrogate-Assisted Method for High-Dimensional Multi-Area Combined Economic/Emission Dispatch C Lin, H Liang, A Pang, J Zhong, Y Yang Journal of Modern Power Systems and Clean Energy, 2023 | 3 | 2023 |
| Dynamic economic/emission dispatch considering renewable energy and pevs L Yao, J Li, H Liang 2021 40th Chinese Control Conference (CCC), 5746-5751, 2021 | 3 | 2021 |
| Collaborative optimization of economic dispatch and reactive power dispatch J Liu, Y Liu, F Li, H Liang, Y Man 2019 Chinese Control Conference (CCC), 2234-2239, 2019 | 2 | 2019 |
| Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy H Liang, C Lin, A Pang International Journal of Electrical Power & Energy Systems 159, 110033, 2024 | 1 | 2024 |
| A Novel Hybrid Binary Bat Algorithm for Global Optimization H Liang, A Pang, C Lin, J Zhong International Journal of Swarm Intelligence Research (IJSIR) 15 (1), 1-29, 2024 | 1 | 2024 |
| Optimal Scheduling Strategies for EV Charging and Discharging in a Coupled Power–Transportation Network with V2G Scheduling and Dynamic Pricing. Y Ran, H Liao, H Liang, L Lu, J Zhong Energies (19961073) 17 (23), 2024 | | 2024 |
| Surrogate-Based Constraint-Handling Technique for Multi-Area Combined Economic/Emission Dispatch Problems Within Bi-Level Programming Framework H Liang, C Lin, A Pang IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| A Surrogate-Based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power C Lu, H Liang, H Xie, C Lin, S Lu International Conference on Bio-Inspired Computing: Theories and …, 2023 | | 2023 |
