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Author

Shang-Zhi Sun

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Conference Sep 2026

Deep reinforcement learning-based economic dispatch strategy for automation-oriented renewable grid integration

Automation-oriented dispatch centers, renewable microgrids, logistics-park charging hubs, and transportation-energy facilities require rapid and reliable scheduling under volatile load, renewable output, electricity prices, and network-security margins. This paper proposes a constraint-aware deep reinforcement learning...

Jian-Ping Xu, Zhi Miao, Hao Wu et al. · 0 citations
#reinforcement learning Conference Sep 2026

Reinforcement-learning-based adaptive energy management strategy for microgrid energy storage systems

High renewable penetration makes microgrid energy management sensitive to uncertain photovoltaic output, wind fluctuation, load variation, electricity price, and battery degradation. Conventional rule-based and model predictive strategies require manually tuned thresholds or accurate forecasts, which limits their adapt...

Feng Long, Shang-Zhi Sun, Min-Zhang Jiang et al. · 0 citations

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