Deep Learning Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6952-4_7
Reference13 articles.
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2. Cao D, Hu W, Xu X, Dragičević T, Huang Q, Liu Z, Chen Z, Blaabjerg F (2020) Bidding strategy for trading wind energy and purchasing reserve of wind power producer—a DRL based approach. Int J Electr Power Energy Syst 117:105648
3. Jiang Y, Hou J, Lin Z, Wen F, Li J, He C, Ji C, Lin Z, Ding Y, Yang L (2019) Optimal bidding strategy for a power producer under monthly pre-listing balancing mechanism in actual sequential energy dual-market in China. IEEE Access 7:70986–70998
4. Nanduri V, Das TK (2007) A reinforcement learning model to assess market power under auction-based energy pricing. IEEE Trans Power Syst 22(1):85–95
5. Rahimiyan M, Mashhadi HR (2010) An adaptive $$ q $$-learning algorithm developed for agent-based computational modeling of electricity market. IEEE Trans Syst Man Cybern Part C (Appl Rev) 40(5):547–556
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