Qinghu Tang
Qinghu Tang
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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
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
Bidding strategy evolution analysis based on multi-task inverse reinforcement learning
Q Tang, H Guo, Q Chen
Electric Power Systems Research 212, 108286, 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
Forecasting individual bids in real electricity markets through machine learning framework
Q Tang, H Guo, K Zheng, Q Chen
Applied Energy 363, 123053, 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
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
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
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