A Deep Reinforcement Learning Framework for Reducing Energy Consumption of Server Cooling System
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50327-6_4
Reference28 articles.
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3. Li, Y., Wen, Y., Tao, D., Guan, K.: Transforming cooling optimization for green data center via deep reinforcement learning. IEEE Trans. Cybern. 50(5), 2020. https://doi.org/10.1109/TCYB.2019.2927410
4. Liu, T., Tan, Z., Xu, C., Chen, H., Li, Z.: Study on deep reinforcement learning techniques for building energy consumption forecasting. Energy Build 208 (2020). https://doi.org/10.1016/j.enbuild.2019.109675
5. Al Nasim, M.A., Al Munem, A., Islam, M., et al.: Brain tumor segmentation using enhanced U-Net model with empirical analysis. In: 2022 25th International Conference on Computer and Information Technology (ICCIT) (2022). https://doi.org/10.1109/iccit57492.2022.10054934
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