| Hyperspectral image classification with deep feature fusion network W Song, S Li, L Fang, T Lu IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018 | 554 | 2018 |
| Highly stretchable and self‐healable MXene/polyvinyl alcohol hydrogel electrode for wearable capacitive electronic skin J Zhang, L Wan, Y Gao, X Fang, T Lu, L Pan, F Xuan Advanced Electronic Materials 5 (7), 1900285, 2019 | 388 | 2019 |
| Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model K Yu, Q Ai, S Wang, J Ni, T Lv IEEE Transactions on Smart Grid 7 (2), 695-705, 2015 | 349 | 2015 |
| Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources T Lv, Q Ai Applied Energy 163, 408-422, 2016 | 216 | 2016 |
| Interactive model for energy management of clustered microgrids T Lu, Z Wang, Q Ai, WJ Lee IEEE Transactions on Industry Applications 53 (3), 1739-1750, 2017 | 127 | 2017 |
| Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network Y Zhang, Q Ai, F Xiao, R Hao, T Lu International Journal of Electrical Power & Energy Systems 114, 105388, 2020 | 124 | 2020 |
| India’s potential for integrating solar and on-and offshore wind power into its energy system T Lu, P Sherman, X Chen, S Chen, X Lu, M McElroy Nature communications 11 (1), 4750, 2020 | 121 | 2020 |
| Energy management for aggregate prosumers in a virtual power plant: A robust Stackelberg game approach S Yin, Q Ai, Z Li, Y Zhang, T Lu International Journal of Electrical Power & Energy Systems 117, 105605, 2020 | 121 | 2020 |
| A data-driven Stackelberg market strategy for demand response-enabled distribution systems T Lu, Z Wang, J Wang, Q Ai, C Wang IEEE Transactions on Smart Grid 10 (3), 2345-2357, 2018 | 120 | 2018 |
| A bi-level multi-objective optimal operation of grid-connected microgrids T Lv, Q Ai, Y Zhao Electric Power Systems Research 131, 60-70, 2016 | 118 | 2016 |
| Economic and technological feasibility of using power-to-hydrogen technology under higher wind penetration in China H Lin, Q Wu, X Chen, X Yang, X Guo, J Lv, T Lu, S Song, M McElroy Renewable Energy 173, 569-580, 2021 | 77 | 2021 |
| Energy systems capacity planning under high renewable penetration considering concentrating solar power J Li, T Lu, X Yi, M An, R Hao Sustainable Energy Technologies and Assessments 64, 103671, 2024 | 74 | 2024 |
| Concentrated solar power for a reliable expansion of energy systems with high renewable penetration considering seasonal balance J Li, T Lu, X Yi, R Hao, Q Ai, Y Guo, M An, S Wang, X He, Y Li Renewable Energy 226, 120089, 2024 | 70 | 2024 |
| An overview on power quality issues and control strategies for distribution networks with the presence of distributed generation resources D Razmi, T Lu, B Papari, E Akbari, G Fathi, M Ghadamyari IEEE Access 11, 10308-10325, 2023 | 64 | 2023 |
| A reinforcement learning-based decision system for electricity pricing plan selection by smart grid end users T Lu, X Chen, MB McElroy, CP Nielsen, Q Wu, Q Ai IEEE Transactions on Smart Grid 12 (3), 2176-2187, 2020 | 58 | 2020 |
| Distributed self-healing scheme for unbalanced electrical distribution systems based on alternating direction method of multipliers F Shen, JC Lopez, Q Wu, MJ Rider, T Lu, ND Hatziargyriou IEEE Transactions on Power Systems 35 (3), 2190-2199, 2019 | 57 | 2019 |
| Interactive game vector: A stochastic operation-based pricing mechanism for smart energy systems with coupled-microgrids T Lu, Q Ai, Z Wang Applied energy 212, 1462-1475, 2018 | 52 | 2018 |
| Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance F Xiao, T Lu, M Wu, Q Ai IET Generation, Transmission & Distribution 14 (1), 140-147, 2020 | 50 | 2020 |
| A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior E Yaghoubi, E Yaghoubi, A Khamees, D Razmi, T Lu Engineering Applications of Artificial Intelligence 135, 108789, 2024 | 46 | 2024 |
| Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection H Cheng, T Lu, R Hao, J Li, Q Ai Applied Energy 358, 122570, 2024 | 46 | 2024 |