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eess.SY2020
A Reinforcement Learning Method For Power Suppliers' Strategic Bidding with Insufficient Information
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Power suppliers can exercise market power to gain higher profit. However, this becomes difficult when external information is extremely rare. To get a promising performance in an e…
eess.SY2020
GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy
Qiangang Jia, Zhaoyu Hu, Yiyan Li +2
Q learning is widely used to simulate the behaviors of generation companies (GenCos) in an electricity market. However, existing Q learning method usually requires numerous iterati…
eess.SY2014★ 1 cited
Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems
Shaolun Xu, Liang Zhang, Zheng Yan +3
Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution l…