Multi-market bidding behavior analysis of energy storage system based on inverse reinforcement learning Q Tang, H Guo, Q Chen IEEE Transactions on Power Systems 37 (6), 4819-4831, 2022 | 22 | 2022 |
The competition and equilibrium in power markets under decarbonization and decentralization Q Chen, X Fang, H Guo, K Zheng, Q Tang, R Lyu, K Pan, P Palensky, ... iEnergy 1 (2), 188-203, 2022 | 8 | 2022 |
Bidding strategy evolution analysis based on multi-task inverse reinforcement learning Q Tang, H Guo, Q Chen Electric Power Systems Research 212, 108286, 2022 | 6 | 2022 |
Fine-grained distribution grid mapping using street view imagery Q Tang, Z Wang, A Majumdar, R Rajagopal Proceedings of the 33rd Conference on Neural Information Processing Systems …, 2019 | 6 | 2019 |
High-dimensional Bid Learning for Energy Storage Bidding in Energy Markets J Liu, H Guo, Q Tang, E Lu, Q Cai, Q Chen arXiv preprint arXiv:2311.02551, 2023 | 1 | 2023 |
Forecasting individual bids in real electricity markets through machine learning framework Q Tang, H Guo, K Zheng, Q Chen Applied Energy 363, 123053, 2024 | | 2024 |
A Marginal Power Generation Cost Estimation Method Based on Probability Interval Accumulation Considering Bounded Rationality Q Tang, H Guo, F Li, Z Sun, Q Chen 2023 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2023 | | 2023 |
Data-Driven Electricity Market Price Risk Evaluation Based on Price Elasticity Indicator H Song, Q Tang, H Guo, J Liu, Z Su, Q Chen 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 467-472, 2023 | | 2023 |