Air cooling data center energy saving method based on deep Q learning conclusion network
A data center and network technology, applied in the energy-saving field of air-cooled data centers, can solve problems such as failure of prediction methods, poor adaptability, and high requirements for training data, and achieve the effect of increasing sensitivity and strengthening training
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[0065] In order to further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention, and are mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments, for reference Those of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.
[0066] According to an embodiment of the present invention, a method for saving energy in an air-cooled data center based on a deep Q-learning duel network is provided.
[0067] Now in conjunction with accompanying drawing and specific embodiment the present invention is further described, as Figure 1-2 As shown, according to the air-...
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