An electricity supplier bidding strategy through Q-Learning-Reference-Cited by-同舟云学术

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An electricity supplier bidding strategy through Q-Learning

Published: Issue: Volume: Page:
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Container-title:IEEE Power Engineering Society Summer Meeting,
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Author:

Gaofeng Xiong ,Hashiyama T.,Okuma S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/8076/22339/01043645.pdf?arnumber=1043645

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalize the Bidding Strategy of Distributed Energy Resources for the Balancing Market;2024 20th International Conference on the European Energy Market (EEM);2024-06-10

2. Power Dispatching Strategy of Electric Vehicle Charging Station Based on Reinforcement Learning and Heuristic Priority;2023 5th Asia Energy and Electrical Engineering Symposium (AEEES);2023-03-23

3. Minority games played by arbitrageurs on the energy market;Physica A: Statistical Mechanics and its Applications;2021-07

4. The comparison of pricing methods in the carbon auction market via multi-agent Q-learning;RAIRO - Operations Research;2021-04-22

5. A Hybrid Evolutionary Algorithm for Strategic Bidding in Day-Ahead Market with Flexible Demand;2021 5th International Conference on Green Energy and Applications (ICGEA);2021-03-06

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