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LEARNING POWER GRID CHARACTERISTICS TO ANTICIPATE LOAD

机译:学习电网特性以预测负载

摘要

Improving the operations of a data center that is located within a power grid and that includes its own power sources. Past operational characteristics of the power grid are analyzed to derive learned characteristics for the power grid. Current and/or future operational characteristics of the power grid are also monitored. A prediction regarding an upcoming, anticipated load for the power grid is then generated using the learned characteristics and the monitored characteristics. In response to this prediction, one or more mitigation operations are selected and then performed at the data center to ensure that the data center is adequately available. Some of these mitigation operations include, but are not limited to, causing the data center to consume more power, causing the data center's power sources to store more power, or causing the data center to migrate services and/or data to a different data center.
机译:改善位于电网内并包括其自身电源的数据中心的运行。分析电网过去的运行特性,以得出电网的学习特性。还监视电网的当前和/或将来的操作特性。然后,使用所学习的特性和所监视的特性来生成关于即将到来的,预期的电网负载的预测。响应于该预测,选择一个或多个缓解操作,然后在数据中心执行缓解操作,以确保数据中心足够可用。这些缓解措施中的一些措施包括但不限于导致数据中心消耗更多的电力,导致数据中心的电源存储更多的电力或导致数据中心将服务和/或数据迁移到其他数据中心。

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