Energy management system scheduling optimization based on an improved generative adversarial network deep reinforcement learning algorithm

doi:10.1016/j.engappai.2025.112129

Energy management system scheduling optimization based on an improved generative adversarial network deep reinforcement learning algorithm

2025-09-04

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DOI：10.1016/j.engappai.2025.112129

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• Proposed an enhanced GAN capturing data nonlinearity and randomness. • Mitigated deep RL bias and optimized energy scheduling. • Proposed a new evaluation method to stabilize learning and improve reliability. • Proposed a scheduling optimization to enhance system stability under renewable energy. • Extensive experiments demonstrated the improvement’s superiority.

Energy management system scheduling optimization based on an improved generative adversarial network deep reinforcement learning algorithm

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