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Robust optimal control method based on constrained neural network for liquid-cooled data centers
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DOI：10.1016/j.energy.2025.137489.png)
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摘要
En 中文
• 针对液冷数据中心开发了一种鲁棒最优控制方法。
• 通过修改损失函数形成了一种约束神经网络，能够提高最优控制的鲁棒性。
• 该鲁棒方法牺牲部分能耗，但克服了不确定性，并显著提高了鲁棒性。
• 与保守方法相比，该鲁棒方法能效更高，使其能够应用于实际。
期刊
IF:
9.4
论文数:
4.3W
被引数:
20.2W
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