High-resolution probabilistic load forecasting: A learning ensemble approach C Lu, J Liang, W Jiang, J Teng, C Wu Journal of the Franklin Institute 360 (6), 4272-4296, 2023 | 13 | 2023 |
Joint Chance-constrained Unit Commitment: Statistically Feasible Robust Optimization with Learning-to-Optimize Acceleration J Liang, W Jiang, C Lu, C Wu IEEE Transactions on Power Systems, 2024 | 5 | 2024 |
Few-shot Residential Load Forecasting Boosted by Learning to Ensemble J Liang, C Lu, W Jiang, C Wu 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | 2 | 2023 |
Robust Online EV Charging Scheduling with Statistical Feasibility W Jiang, J Liang, C Lu, C Wu 2023 62nd IEEE Conference on Decision and Control (CDC), 5594-5599, 2023 | 1 | 2023 |
Manipulation-Proof Virtual Bidding Mechanism Design C Lu, J Liang, N Gu, H Wang, C Wu IEEE Transactions on Energy Markets, Policy and Regulation, 2023 | 1 | 2023 |
Effective Carbon Tax Learning via Cap and Trade J Liang, W Jiang, C Wu 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 4326-4331, 2022 | 1 | 2022 |
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making PZ Wang, J Liang, S Chen, F Fioretto, S Zhu arXiv preprint arXiv:2502.05468, 2025 | | 2025 |
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models J Liang, JK Christopher, S Koenig, F Fioretto arXiv preprint arXiv:2502.03607, 2025 | | 2025 |
Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models J Liang, JK Christopher, S Koenig, F Fioretto arXiv preprint arXiv:2412.17993, 2024 | | 2024 |