Topic 1: Learning to Optimize/Control
- G. Ruan, H. Zhong, J. Wang, et al, “Neural-network-based Lagrange multiplier selection for distributed demand response in smart grid,” Applied Energy, 2020, 264: 114636.
- G. Ruan, J. Wang, H. Zhong, et al, “Improving sample efficiency of deep learning models in electricity market,” IEEE Transactions on Power Systems, 2023, 38(5): 4761-4773.
- X. Wang, H. Zhong, G. Zhang, G. Ruan, et al, “Adaptive look-ahead economic dispatch based on deep reinforcement learning,” Applied Energy, 2024, 353: 122121.
- G. Ruan, H. Zhong, G. Zhang, et al, “Review of learning-assisted power system optimization,” CSEE Journal of Power Energy Systems, 2021, 7(2): 221-231.
- G. Ruan, M. A. Dahleh, “Temperature-controlled smart charging for electric vehicles in cold climate,” IEEE Transactions on Intelligent Transportation Systems.
- Y. He, H. Zhong, G. Ruan, “Resilient distribution network with degradation-aware mobile energy storage systems,” Electric Power Systems Research, 2024, 230: 110225.
- X. Zhu, G. Ruan, H. Geng, et al, “Multi-objective sizing optimization method of microgrid considering cost and carbon emissions,” IEEE Transactions on Industry Applications, 2024, 60(4): 5565-5576.
- G. Ruan, D. Qiu, S. Sivaranjani, et al, “Data-driven energy management of virtual power plants: A review,” Advances in Applied Energy, 2024, 14: 100170.
- X. Cui, S. Liu, G. Ruan, “Data-driven aggregation of thermal dynamics within building virtual power plants,” Applied Energy, 2024, 353: 122126.
- Y. He, H. Zhong, G. Ruan, et al, “Multi-area asynchronous grid operation with frequency reserve sharing,” IEEE Transactions on Power Systems, 2024.
- G. Ruan, H. Zhong, B. Shan, et al, “Constructing demand-side bidding curves based on a decoupled full-cycle process,” IEEE Transactions on Smart Grid, 2021, 12(1): 502-511.
- G. Ruan, D. S. Kirschen, H. Zhong, et al, “Estimating demand flexibility using Siamese LSTM neural network,” IEEE Transactions on Power Systems, 2022, 37(3): 2360-2370.
- G. Ruan, D. Wu, X. Zheng, et al, “A cross-domain approach to analyzing the short-run impact of Covid-19 on the U.S. electricity sector,” Joule, 2020, 4(11): 2322–2337.
- Y. Yang, Y. Ye, Z. Cheng, G. Ruan, et al, “Life cycle economic viability analysis of battery storage in electricity market,” Journal of Energy Storage, 2023, 70: 107800.
- D. Qiu, Z. Dong, G. Ruan, et al, “Strategic retail pricing and demand bidding of retailers in electricity market: A data-driven chance-constrained programming,” Advance in Applied Energy, 2022, 7: 100100.