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Open access Aug 2026

Dynamic Pricing Strategies for the Electricity Retail Market Using Reinforcement Learning Algorithms

This paper models the dynamic pricing problem of power retailers as a Markov decision process within a continuous action space and proposes a solution framework based on proximal policy optimization algorithms, validating the feasibility and practical effectiveness of reinforcement learning approaches for dynamic prici...

W.-T. Xu, J.-J. Liu, C. Liu et al. · 0 citations

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