| Autor: |
Qiangang Jia, Zhaoyu Hu, Yiyan Li, Zheng Yan, Sijie Chen |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE Power & Energy Society General Meeting (PESGM). |
| DOI: |
10.1109/pesgm46819.2021.9638178 |
| Popis: |
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 extremely incomplete information market environment, a novel model-free reinforcement learning algorithm based on the Learning Automata (LA) is proposed in this paper. Besides, this paper analyses the rationality and convergence of the algorithm in case studies based on the Cournot market model. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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